big Data Software Engineer Resume Samples
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big Data Software Engineer Resume Samples
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TD
T Dietrich
Terrence
Dietrich
8710 Hegmann Throughway
Detroit
MI
+1 (555) 585 1856
8710 Hegmann Throughway
Detroit
MI
Phone
p
+1 (555) 585 1856
Experience
Experience
Dallas, TX
Big Data Software Engineer Intern
Dallas, TX
Beatty-Keebler
Dallas, TX
Big Data Software Engineer Intern
- Hands-on Work in LAB including Hardware/Software Installation, Maintenance and Testing
- Work closely with the team members on Intel big data enabling. Implement the domain specific big data solution and application
- Functionality Implementation and Performance Testing against the Cloud
- Other duties as assigned by management
- Develop the cutting edge products, applications and tools based on Hadoop and related technology
- Research and Explore New Technologies and Alternatives in Building Big Data on Cloud
- Solid Background in Computer Science or Software Engineering
Boston, MA
big Data Software Engineer
Boston, MA
Parisian and Sons
Boston, MA
big Data Software Engineer
- Owns the design and development of significant components or modules and contributes to reviews of other components within the overall architecture
- Transfer and load disparate data sets in multiple formats and multiple sources including JSON, GeoJSON, Kafka queues, text files and log data
- Design, build and support APIs and REST-based web services that are exposed to other internal teams
- Ensure that code adheres to defined standards and best practices for accessibility, security, standard coding practices, performance and quality
- Practices Agile development methods and exemplifies core agile values of transparency, collaboration, embracing change and iterative development
- Tasks for data evaluation and integration, data cleansing, standardization, un-duplication
- Utilize Big Data, ETL, data processing or data warehousing technologies that process very large datasets and databases
present
Los Angeles, CA
Manager, Big Data Software Engineer
Los Angeles, CA
Nolan and Sons
present
Los Angeles, CA
Manager, Big Data Software Engineer
present
- Research, experiment, and utilize leading Big Data methodologies, such as Hadoop, Spark, Redshift, Netezza, SAP HANA, and Microsoft Azure
- Architect, implement and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as AWS, Azure, client technology stacks, and KPMG’s own clusters
- Research, experiment, and utilize leading Big Data methodologies, such as Hadoop, Spark, Redshift, Netezza, SAP HANA, with a particular emphasis on Microsoft Azure
- Work with KPMG industry specialists to apply new/emerging/disruptive technologies in the development of relevant business use cases and proof of concept/ development in diverse domains such Financial services, Insurance, supply chain and healthcare
- Develop, build, test, and deploy applications on-premises or on the cloud using iterative, and agile-like development processes; work with Project management team to define technical steps from design to deployment
- Communicate results and educate others through insightful visualizations, presentations, and demonstrations
- Architect, implement, and test data processing pipelines and data mining / data science algorithms on a variety of hosted settings such as AWS, Azure, client technology stacks, and KPMG’s own clusters
Education
Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Georgetown University
Bachelor’s Degree in Computer Science
Skills
Skills
- Personable, curious, intelligent, positive thinker, highly motivated, results driven, quick learner, great communicator
- Has basic or good knowledge of best practices and how own area of expertise integrates with others
- Strong proficiency in NoSQL databases (e.g MongoDB, Cassandra, etc)
- Strong proficiency in Big Data tools and their configuration & setup is
- Works quickly and is able to assist other team members where appropriate. Works independently
- Strong proficiency in Software development in Java
- Strong proficiency in ETL tools (e.g Talend, Spring Batch, Informatica, etc)
- Displays knowledge of, and ability to apply, project management skills
- Capability for quick prototyping
- Strong collaboration skills and ability to thrive in a fast-paced environment
15 big Data Software Engineer resume templates
Read our complete resume writing guides
1
big Data Software Engineer Resume Examples & Samples
- Strong problem solving skills and a quick learner on those emerging technology
- System software design and development experience with extensive knowledge of Unix/Linux is a plus
- Experienced on large-scale web, cloud and/or Big Data framework or applications (like Hadoop, Spark) is a big plus
2
Senior big Data Software Engineer Resume Examples & Samples
- BS, MS, or PhD in Computer Science or related technical discipline (or equivalent)
- A solid foundation in computer science, with strong competencies in computer system internals, data structures, algorithms, and software design
- Active open source community contributor is a plus
- Fluency in English (reading and writing)
3
big Data Software Engineer Resume Examples & Samples
- Bachelor's Degree in Computer Science or Computer Engineering with 4+ years' experience or Master's Degree and 3+ years of experience
- 3+ years industry experience with Hadoop and other Big Data technologies (including Map Reduce)
- Expert-level knowledge / proficiency with Java programming
- Strong problem solving skills and analytical abilities
- Extensive knowledge of Unix/Linux is a plus
- The ideal candidate will be flexible, self-motivated, and a quick learner on those emerging technologies
- Have passion, creativity, sound engineering practices, accountability, teamwork, cross-organizational collaboration and a desire to improve
- Active big-data related open source community committer or Project Management Committee (PMC) member
- Hands-on experience in Hadoop projects such as Spark/HDFS/HBase/Gearpump
4
big Data Software Engineer Resume Examples & Samples
- Bachelor's Degree in Computer Science or Computer Engineering with 1+ years of experience or Master's Degree
- A solid foundation in computer science, with strong competencies in computer system internals, data structures and algorithms
- Proficiency with Java programming
- Have passion, creativity, sound engineering practices, excel as a team player
- Hands-on experience with Hadoop and other Big Data technologies including Hadoop projects such as HDFS or HBase or Gearpump or YARN
- Familiarity with benchmarks and optimization
5
big Data Software Engineer Resume Examples & Samples
- Bachelor's Degree in Computer Science or Computer Engineering with 3+ years' experience or Master's Degree and 2+ years of experience
- Hands-on experience with Hadoop and other Big Data technologies
- Hands-on experience in Hadoop projects such as Impala
6
big Data Software Engineer Resume Examples & Samples
- Bachelor's in Computer Science or Computer Engineering with 6+ years of experience or Master's Degree and 4+ years of experience
- 4+ years industry experience with Hadoop and other Big Data technologies (including Map Reduce)
- Hands-on experience in Hadoop projects such as HDFS/HBase/Spark
- Experience with Map Reduce / YARN schedulers and distributed file-systems
- Current or prior role as a team lead/architect delivering big-data solutions
7
big Data Software Engineer Resume Examples & Samples
- Excellent understanding and implementation experience of Hadoop Architecture
- HDFS, Map Reduce, Hadoop Cluster
- Data Storage: HBase, SOLR
- Data Integration: Flume, kafka, and Sqoop, ETL
- Data Processing: Spark
- Data Analysis: Hive, Pig, and Impala
- Data Exploration: Cloudera Search
- Storm
- Graph data base (ie, Neo4j)
- Experience in Agile development methodology
- A minimum of 6 years of experience is required. 7 to 8 years of experience is preferred
8
big Data Software Engineer Resume Examples & Samples
- Transfer and load disparate data sets in multiple formats and multiple sources including JSON, GeoJSON, Kafka queues, text files and log data
- Design, build and support APIs and REST-based web services that are exposed to other internal teams
- Ensure that code adheres to defined standards and best practices for accessibility, security, standard coding practices, performance and quality
- Practices Agile development methods and exemplifies core agile values of transparency, collaboration, embracing change and iterative development
- Demonstrates ability to ‘keep current’ with emerging technology trends and research
- Tasks for data evaluation and integration, data cleansing, standardization, un-duplication
- Utilize Big Data, ETL, data processing or data warehousing technologies that process very large datasets and databases
- Proficiency in Computer Science fundamentals – object oriented design, data structures, services architecture, algorithms, problem solving, and complexity analysis
- Experience with Spring, PostgreSQL, Spring XD, Elastic Search, REST, Cassandra or MongoDB
- High energy with a positive attitude
- Experience using standard SDLC tools like Jira, Git, Jenkins etc
- Test-driven development/test automation, continuous integration, and deployment automation
- Comfortable working in a fast-paced agile environment. Requirements change quickly and our team needs to constantly adapt to moving targets
- Strong communications skills and team-oriented mindset
- PostGIS
- Statistical analysis
- Lambda architecture experience
9
big Data Software Engineer Resume Examples & Samples
- Technical Debt reduction – The Data Team has a sense of pride and ownership in what we do. To maintain that, we always seek to undo old hacks or shortcuts, improve the systems we have, and implement better ways of doing things, without requiring that the Business ask us to do so
- Data Analysis & Munging – Data is a massive part of what we do every day. You’ll need to be able to manipulate data, crunch it, and sling it around the place with ease
- Having Brilliant ideas & helping the group execute on them – The team is always looking to be ahead of the customer. We are always working on our own projects too, dreamed up inside the team, to improve the product
10
big Data Software Engineer Resume Examples & Samples
- Architect, develop, and maintain applications and Web Services using Enterprise Java. Write application code, develop user interfaces, create systems and user documentation, test software, and perform other tasks needed to complete projects. Lead and coordinate with other team members to ensure applications adhere to the standards and structures developed for the organization
- The ideal candidate will be responsible for architecting and developing the next phase of Big Data applications with complex event processing. This software engineer must possess the skill set to hit the ground running and must be willing to learn about the advertising sales business while solving problems quickly
- The ideal candidate will also have responsibilities to lead other initiatives that may or may not be related to Advanced Advertising Interactivity so their skill set should be highly technical with a background in architecture being a huge plus
- Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary
11
Big Data Software Engineer, Analytics Resume Examples & Samples
- Create and support analytics infrastructure to support high-volume and high-velocity data pipelines
- Develop and test data integration components to high standards of quality and performance
- Lead code reviews and act as mentor to less experienced members of the team
- Assist with planning and executing releases of data pipeline components into production
- Troubleshoot and resolve critical production failures in the data pipeline
- Research, identify and recommend technical and operational improvements that may result in improved reliability, efficiency and maintenance of the analytics pipeline
- Evaluate and advise on technical aspects of open work requests in the product backlog with the project lead
- Bachelor's Degree in ComputerScience or related field
- 5years solid development experience working on the Linux/Unix platform
- 5years solid development experience working in Java and/orScala
- At least 2 years of that experience should be in the analytics sphere and working with distributed compute frameworks
- Experience of working in AWS a strong plus
- Knowledge of the following technologies a plus: Spark, Storm, Kafka, Kinesis, Avro
- Relocation assistance available for qualified applicants
12
big Data Software Engineer Resume Examples & Samples
- 2 years experience with Hadoop, HBase and Spark devloyment
- 2 years experience in Server, networks and hosting environments
- 2 years experience with Linux systems administration
13
Manager, Big Data Software Engineer Resume Examples & Samples
- Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains such as risk management, product development, marketing research, supply chain, and public policy; communicate results and educate others through insightful visualizations, reports and presentations
- Bachelor’s degree from an accredited college or university in Computer Science, Computer Engineering, Engineering or a related field with seven years of experience; a Master’s degree with five years of experience in State & Local Government - Security Clearance preferred, or a PhD with two years of experience
- Proficiency in Unix/Linux environments and ability to develop in terminal environments
14
big Data Software Engineer Resume Examples & Samples
- Fluency in several programming languages such as Python, Scala, or Java, (Cortana Intelligence Suite) with the ability to pick up new languages and technologies quickly
- Understanding of cloud, and distributed systems principles, including load balancing, networks, scaling, in-memory vs. disk
- Experience with Large Scale/ Big Data methods, such as MapReduce, Hadoop, Spark, Hive, Impala, or Storm
15
big Data Software Engineer Resume Examples & Samples
- Participate in analyzing requirements, and developing software and system designs which meet requirements
- Design, develop, and maintain software modules working from written and oral requirements and specifications
- Design and create automated unit and functional tests for production code. Take ownership of existing code
- Participate as a member of an agile scrum team, in deep collaboration with other engineers on the team
- Participate in peer reviews of product and test software and designs
- Provide domain-specific expertise and software systems recommendations and perspective relative to the software you are
- 4 or more years of professional experience as a software developer
- Experience with automated testing, continuous development, continuous delivery tools and methodologies
- Object-oriented programming experience: Objective C, C++, Java, other
- Ability to learn new skills quickly and work effectively in a fast-paced environment
- Excellent written and verbal communication skills, including mastery of the English language
- Ability to effectively communicate on and about software technologies, create design proposals, and
- Design and use of REST APIs
- Cloud service deployment technology (AWS, Chef, Puppet, etc.)
- Current big data analytics, data modeling, and data visualization methodologies, processes, and tools
- Hypothesis-driven software development mindset
- Knowledge of design strategies for developing scalable, resilient, always-on cloud based services
- Ability to work with fast-changing requirements, with potentially vague requirements
- Ability to analyze and report on the performance and scalability of complex software systems
- Information science and analytics background
16
big Data Software Engineer Resume Examples & Samples
- Adapt to new development environments, changing business requirements and learning new systems. We're currently rewriting large parts of the existing infrastructure on top of new distributed stacks
- We have a large variety of products (from ad targeting to audience management, etc.) that we need to interact with so we drive cross-team solutions that have complex dependencies and requirements
- Handle multiple competing priorities in a fast-paced environment
17
big Data Software Engineer Resume Examples & Samples
- Develop production-grade data pipelines and ETL processes to support leading-edge analytics and big data processing
- Curate massive amounts of data and make it accessible via state-of-the-art technologies
- Review internal and external technological techniques, processes, and tools - to improve efficiency and better serve Nasdaq clients worldwide
- Gather new product requirements from business stakeholders
- 5-8 Yeas professional experience in engineering or other technical role
- Experience deploying applications in a production or mission-critical environment
- Experience in financial services is a plus
- Knowledge of cloud platforms and common architectures: AWS, Google
- Strong Familiarity with Big Data technologies and architectures: Hadoop, Spark, Kafka, etc
- Good Programming Skills: Python, Java, Scala, R, SQL
- Experience with containers and scalable computing platforms: Docker (ECS), Mesos, Kubernetes
- Good verbal and written communication
- Is fully self-sufficient and competent in regards to output quality and quantity
- Requires little or no supervision on a day to day basis
- Has basic or good knowledge of best practices and how own area of expertise integrates with others
- Provides informal guidance for colleagues with less experience
- Plans and prioritizes work using resources in the best possible way to complete tasks on time and with high quality
- Is starting to look at ‘best practice’
- Works quickly and is able to assist other team members where appropriate. Works independently
- Shares knowledge and expertise across organizational boundaries and endorses "best practices“
- Synthesizes information from various sources by breaking it down into relevant components and generating new data when needed; considers a broad range of issues when determining relevance of data
- Integrates complex information and concepts and organizes analysis efforts into a systematic framework; verifies logic of others and challenges ideas, assumptions and conclusions
- Applies extensive understanding of the policies, practices, trends and information that impact the organization and its customers to anticipate and plan for each step of a complex project
18
big Data Software Engineer Resume Examples & Samples
- You will own the design and implementation of the software systems that power critical data-flows across the enterprise
- You will be developing unit tests, running code reviews, building integration test frameworks for distributed systems
- You run our CI/CD pipeline management for data workflows
- You are a self-starter and work independently on technical projects but also work collaboratively with project team members through an agile development
- Programming skills – You are comfortable writing code in multiple languages, confident in choosing the right strongly or dynamically typed language for
19
big Data Software Engineer Resume Examples & Samples
- Design, develop, implement, and provide maintenance of an enterprise level, multi-user, big data aggregation, analysis, and reporting systems using a variety of AWS components
- Design, develop, and provide implementation of compelling data visualizations, dashboards, tools, and utilities using Open Source tools and technologies
- Integrate Big Data tools into traditional enterprise architectures
- Research, evaluate, and deploy new tools, frameworks and patterns to create new big data solutions for business problems
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Bachelor’s degree in Computer Science, Information Systems, Information Technology or related field and 5+ years of software development/integration experience, including knowledge of mid to large scale open source platforms leveraging open source technologies
- TS/SCI with Polygraph clearance required
- Experience in more than one of the following: Java/J2EE, Ruby, JavaScript, C++, HTML, CSS, Spring, MyBatis, jQuery, D3, SQL, Python, Bash/Perl, R, Octave, MySQL, Scala, Hadoop, Apache, Accumulo, HDFS, Spark, MapReduce, Pig, Hive, Presto, Vertica, Kylin, Impala, Shark, Drill, Druid, Trafodion, Greenplum, Lucene, Solr, ElasticSearch, Solr, NoSQL, Hbase, Cassandra, Mongo, Flume, Sqoop, Cloudera Impala, Zookeeper, Oozie, Hue, Kafka
- Experience with big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.)
- Understanding of Operating Systems (Unix/Linux), Networks and System Administration experience
- Experience with Agile Methodologies
- High motivation, good work ethic and maturity
- Experience with A&A (ICD 503) or C&A (DCID 6/3) processes and concepts (IPAT, ASDS, DIACAP, DISA STIGs, etc.)
- Experience with Agile tools such as Jira/Greenhopper
- Experience with Amazon
- EC2 Container Service
- Experience with Data Migration
- Experience with Mesos, Swarm
- Software Development and/or System Design Related Certifications
20
big Data Software Engineer Resume Examples & Samples
- Bachelor’s degree in Computer Science, Information Systems, Information Technology or related field and 2+ years of software development/integration experience, including knowledge of mid to large scale open source platforms leveraging open source technologies
- Current/Active Secret Clearance required
- Position may provide opportunity/ability to obtain a clearance to the TS/SCI with Polygraph clearance level
- Top Secret/SCI with Polygraph clearance
21
big Data Software Engineer Resume Examples & Samples
- B.S. in Computer Science, Mathematics, Engineering or equivalent
- Candidates must have 5 years of experience with a Bachelors Degree or 3 years with a Masters Degree or a total of 9 years in lieu of a Degree
- 5 years experience in a software development role
- 5 years experience developing in Java
- 3 years experience working with batch-processing and tools in the Hadoop tech stack (eg, MapReduce, Yarn, Pig, Hive, HDFS, Oozie)
- 1 year developing Restful web services
- 5 years working with code development, deployment, versioning, and build tools (eg, Eclipse, git, svn, maven, Jenkins)
- Experience working with tools in the stream-processing tech stack (eg, Spark, Storm, Samza, Kafka, Avro)
- Experience developing applications that work with NoSQL stores (eg, ElasticSearch, Hbase, Cassandra, MongoDB, CouchDB)
- Experience developing for PB-level data stores and/or 10Gbps+ ingest speeds
- Ability to write well-abstracted, well-documented, tested, and extensible code
- Experience designing, executing, and reporting results of experiments
- Ability to communicate effectively to engineers, users, and management alike
- Experience in Python, Scala, and shell scripting
- Experience with machine-learning algorithms, as well as libraries that assist in the integration of those algorithms (Spark MLlib, Weka, R, Mahout)
- Experience provisioning, managing, and optimizing large compute clusters, including demonstrable understanding of how Hadoop parameters affect job performance
- Experience with cluster performance monitoring tools, such as Ganglia and Nagios
- Cloud certification
22
big Data Software Engineer Resume Examples & Samples
- 2+ years of hands-on large-scale software development / integration experience using Java/JEE technologies
- At least one project engagement with experience using the technologies in the Hadoop ecosystem such as: Hadoop, HDFS, Spark, MapReduce, Pig, Hive, Flume, Sqoop, Cloudera Impala, Zookeeper, Oozie, Hue, Kafka
- Experience applying interpersonal abilities to client-facing systems implementation projects
- Exposure with search systems (Lucene, Solr, ElasticSearch)
- Exposure to high availability configurations, Hadoop cluster connectivity and tuning and Hadoop security configurations
- Good understanding of Operating Systems (Unix/Linux), Networks and System Administration experience
- Interest in learning and contributing to the learning of others through contributions to open source projects and mentoring of junior resources
- BS/MS in Computer Science or related field
- Intellectually curious, reliable, and flexible team player
- Passionate about delivering quality
23
big Data Software Engineer Resume Examples & Samples
- Proficiency with development tools (Git/SVN, Artifactory, Maven, Jenkins)
- Minimum 2 years’ experience developing with Java, Python, Scala
- Minimum 2 years’ experience with Hadoop ecosystem (Spark, Hive, HBase, Pig)
- Experience using data streaming stacks (Ni-Fi, Kafka, Spark Streaming, Storm)
- Experience with relational databases (Teradata, MS SQL, Oracle, MySQL)
- Experience building web applications (Django, Bootstrap, React, Angular)
- Experience with R / Shiny, MLlib, SciPy, NumPy, etc
- Ability to analyze problems, identify and implement solutions
- Ability for minimal, international travel
24
Big Data Software Engineer Consultant Microsoft Big Data & Analytics Resume Examples & Samples
- Translate advanced business analytics problems into technical approaches that yield actionable recommendations, across multiple, diverse domains; communicate results and educate others through design and build of insightful visualizations, reports, and presentations
- Minimum seven years of big data experience with multiple programming languages and technologies; minimum three years of big data experience required if PhD achieved
- Fluency in several programming languages such as Python, Scala, or Java, with the ability to pick up new languages and technologies quickly; understanding of cloud and distributed systems principles, including load balancing, networks, scaling, in-memory vs. disk, etc.; and experience with large-scale, big data methods, such as MapReduce, Hadoop, Spark, Hive, Impala, or Storm
- Work with team members and clients to assess needs, provide assistance, and resolve problems, using excellent problem-solving skills, verbal/written communication, and the ability to explain technical concepts to business audiences; ability to travel up to 80%,
25
big Data Software Engineer Resume Examples & Samples
- Solid knowledge on OS, data structures, algorithms, modern software design and SDLC, at least 5 years of working experience developing software with C/C++/Java/Python etc
- Strong experience as an individual contributor as well as a great team member, collaborating closely with peers
- Excellent communication skills, written and verbally
- BSc/ MSc degree in Information Technology/ Computer Science/ Software Engineering or equivalent
- Experience with Linux kernel, large-scale web service, distributed system or high performance computing, is a big plus
26
big Data Software Engineer Resume Examples & Samples
- Computer science or equivalent background students
- Excellent understanding of Intel architecture
- Excellent understanding of Linux/FreeBSD like system and Internals
- Excellent understanding of C/C++ programming skills
- Good knowledge of Enterprise storage, Cloud Storage and/or Software Defined Storage
- Good knowledge of database software is a plus
- Passion to contribute to open source community
- Excellent communication skills, both written and verbal (English)
27
big Data Software Engineer Resume Examples & Samples
- Work closely with the team members on big data path findings, IA enabling, optimization and tuning
- Contribute to open source projects with high quality codes and develop customer solutions in big data domain
- Lead and drive effort in a direction in big data field
- Proficient in JAVA or C/C++ programming
- Familiarity with Linux is preferred
- Experience with IA optimization and tuning, preferred
- Deep knowledge in database and distributed system, preferred
- Experience with technical design is a plus
28
big Data Software Engineer Resume Examples & Samples
- Designing, developing/coding, and debugging software product and test tools
- Reviewing and providing strong feedback on software product specifications and design specifications
- Debugging software and system issues
- Setup and maintenance software test infrastructure
- Demonstrate strong problem solving skills and communication skills
- Work well in a team
- Bachelor's Degree in Computer Science required, Master's Degree strongly preferred
- Solid Java, C / C++,programming language knowledge
- Adequate knowledge in system administration, scripting language, data analyzing and visualization tools
- Demonstrated understanding of server system architecture, especially in Intel server platforms
29
big Data Software Engineer Resume Examples & Samples
- Research on existing Big Data technologies and writing technical reports if necessary, more on Big Data Security and IA related optimization
- Prototype/design/develop features for Big Data and open source
- Build/maintain Big Data clusters, build/innovate tools for development or debugging
- Identify/fix bugs both in Hadoop system and related tools
- Team work and collaboration spirit
- Master in computer science
30
Big Data Software Engineer Intern Resume Examples & Samples
- Work closely with the team members on Intel big data enabling. Implement the domain specific big data solution and application
- Develop the cutting edge products, applications and tools based on Hadoop and related technology
- Other duties as assigned by management
- Bachelor or master candidate in Computer Science or Software Engineering
- Proficient in JAVA programming
- Good communication skills. Proficiency in spoken and written English is preferred
- At least 3 working day per week is required
31
Big Data Software Engineer Intern Resume Examples & Samples
- Participate in Big Data Solution on OpenStack
- Responsible for Design, Implement, Operate and Test Cloud Infrastructure
- Hands-on Work in LAB including Hardware/Software Installation, Maintenance and Testing
- Functionality Implementation and Performance Testing against the Cloud
- Research and Explore New Technologies and Alternatives in Building Big Data on Cloud
- Solid Background in Computer Science or Software Engineering
- Experience in Linux Operations
- Basic Knowledge on Virtualization, Cloud Computing(OpenStack preferred), and Big Data(Hadoop/Spark preferred)
- Familiar with Python or Java
- Good English Reading and Writing Skill
- Fast Learning and Problem-Solving Skill
32
Big Data Software Engineer, Paris / Suresnes Resume Examples & Samples
- Passion for learning new tools, languages and frameworks
- Ability to be creative and innovation-minded
- Fast adaptation to changing requirements
- To work in a multi-cultural environment
- To work with minimal direct guidance, self-motivated and proactive
- To work in a collaborative model, side by side with the business
- Practical, hands on approach to get results
33
big Data Software Engineer Resume Examples & Samples
- Research, design, and implement algorithms that power knowledge inference and online recommendations, based on Deep Learning/machine learning to consume various types of data
- Dive into huge, noisy, and complex real-world behavioral data to produce innovative analysis and new types of predictive models of engineering behaviors and manufacturing processes performance
- Explore the untapped potential of big data for design, engineering and analysis tasks and devise revolutionary approaches
- Apply deep learning techniques to large-scale, real-world problems
- Fast prototyping, feasibility studies, specification and implementation of data analysis product components
- Candidate must have Master degree with 3-5 years of Experiences in the field of Big Data Analytics
- Strong proficiency in Software development in Java
- Strong proficiency in Big Data tools and their configuration & setup is a plus
- Strong proficiency in NoSQL databases (e.g MongoDB, Cassandra, etc)
- Strong proficiency in ETL tools (e.g Talend, Spring Batch, Informatica, etc)
- Proficiency in Knime, Hadoop and Spark
- Proficiency in parallel computing & distributed algorithms (e.g. Map-Reduce, CUDA, GPU)
- Capability for quick prototyping
- Outstanding written and verbal communication skills in English are required
- Excellent interpersonal skills and a can-do attitude
- Strong collaboration skills and ability to thrive in a fast-paced environment
- Flexibility and adaptability to work in a growing, dynamic team
- Ability to work with controlled technology in accordance with US export control law required. Siemens may require candidates under consideration for employment opportunities to submit information regarding citizenship status to allow the organization to comply with specific US Export Control laws and regulations. Additional information on the US Export Control laws & regulations can be found on http://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs?view=category&id=33#subcat34
- Degree in Computer Science or Information Technology preferred
- Proficiency in security and compliance analytics preferred
- Previous experience or knowledge in the field of probabilistic reasoning, uncertainty quantification, dimensionality reduction, decision trees, and design analysis is preferred
- Previous experience or knowledge in the field of machine learning/deep learning
34
Big Data Software Engineer Consultant Resume Examples & Samples
- Architect (Manage), implement, and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as AWS, Azure, client technology stacks, and KPMG’s own clusters
- Bachelor’s degree in Computer Science, Computer Engineering, or related field from an accredited college or university; PhD in Computer Science, Computer Engineering, or related field is preferred
- Demonstrated experience designing and delivering solutions utilizing the Cortana Intelligence Suite of analytics services part of Microsoft Azure including HDInsight, Azure Data Lake Analytics, Azure SQL Data Warehouse, Azure SQL, Data Factory, Streaming Analytics, Data Catalog, and Power BI; experience with on premises Microsoft technologies such as SQL Server 2016 (SSIS, SSRS, SSAS) and Microsoft APS is a plus
- Ability to work efficiently under Unix/Linux environment or .NET, with experience with source code management systems like GIT and SVN
35
big Data Software Engineer Resume Examples & Samples
- The candidate will work as part of a team to review business requirements
- Design and implement server-side technology for scalable crawling, indexing and analysis
- Debugging and profiling to isolate mission critical issues
- Machine learning on big data
36
big Data Software Engineer Resume Examples & Samples
- As part of a product team, understanding user needs, and exploring user-centred designs
- Leveraging modern tools and techniques to develop clean, efficient, and reusable code
- Identifying and addressing design, development, and delivery performance bottlenecks
- Actively participating in code and design reviews
- Exposure/Adaptability to learning Open Source Technologies
- Proven understanding of computers and software applications in general
- Excellent verbal and written communications skills
- React.js
- GitHub, Jenkins, testNG
- Micro-services architecture and development
37
big Data Software Engineer Resume Examples & Samples
- Applies software engineering principles to assist in the planning, designing, implementation, testing, and deployment of biometric-enabled software and information system prototypes
- Develops processes that interpret the content in multimedia files (e.g., image and video files) using computer vision tools such as OpenCV
- Uses big data tools such as Hadoop, Spark, Accumulo, and Solr to process and store information
- Self-starter mindset with excellent organization and listening skills
- Experience with image and video processing tools such as ffmpeg and OpenCV
- Software development experience in C/C++, Java, or Python
- Familiarity with big data technologies; previous experience is not required, but a strong desire to develop skills in this area is essential
- Biometrics
- Creating and consuming web services
- Developing solutions using the Hadoop ecosystems
- Querying, designing, and managing databases
- Systems administration and virtualization
- Task leadership
- Unit and integration testing
- ActiveMQ
- Accumulo
- Apache Maven
- Hibernate ORM
- OpenCV
- Solr/Elasticsearch
- Weka
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big Data Software Engineer Resume Examples & Samples
- Work in cross-disciplinary teams with KPMG industry specialists to understand the business needs, current state processes use cases for leading corporations and organizations
- Participate with team members to translate advanced business requirements into technical architectural design that support future state business processes
- Develop, build, test, and deploy applications on-premises or on the cloud using iterative and agile-like development processes; work with project management team to define technical steps from design to deployment
- Communicate results and educate others through insightful visualizations, presentations and demonstrations
- Bachelor’s degree from an accredited college/university in Computer Science, Computer Engineering, or related field and minimum four years of big data experience with multiple programming languages and technologies; Master’s with two years of relevant experience; or PhD with one year of relevant experience
39
Manager, Big Data Software Engineer Resume Examples & Samples
- Develop a variety of user-centric applications based on business objectives and requirements in intuitive and innovative ways, by leveraging existing and emerging technologies
- Translate advanced business requirements into technical architectural design that support future state business processes
- Work with KPMG industry specialists to apply new/emerging/disruptive technologies in the development of relevant business use cases and proof of concept/ development in diverse domains such Financial services, Insurance, supply chain and healthcare
- Develop, build, test, and deploy applications on-premises or on the cloud using iterative, and agile-like development processes; work with Project management team to define technical steps from design to deployment
- Bachelor’s degree from an accredited college/university in Computer Science, Computer Engineering, or related field and minimum seven years of big data experience with multiple programming languages and technologies; Master’s with five years of relevant experience; or PhD with two years of relevant experience
- Ability to work with team members and clients to assess needs, provide assistance, and resolve problems, using excellent problem-solving skills, verbal/written communication, and the ability to explain technical concepts to business audiences
- Demonstrated ability to lead and manage development projects including proposal development, project scoping, project management and monitoring from requirements through deployment with working knowledge of knowledge of SDLC and Agile Development methodologies
- Fluency in several programming languages such as Python, C#, Ruby, Java, or Javascript, and functional languages such Scala, Clojure, Elixir, PureScript, with the ability to pick up new languages and technologies quickly; proficiency in Web-front end, back-end (full stack development experience), .NET, or Linux-based development
- Working knowledge and hands-on experience with distributed systems and distributed ledger technologies / blockchain platforms such as ethereum and hyperledger
- Experience with programming smart contracts and knowledge of solidity programming language
40
big Data Software Engineer Resume Examples & Samples
- Master’s degree in Computer Science or related major
- Strong applied experience. You’ve built, broken, and rebuilt software applications
- We’re looking for creative thinkers who also know how to create real-world products
- Proficiency in programming languages such as Java, Python, SQL, C++
- Experience using NodeJS, Javascript, CSS and HTML
- Experience with Hadoop, Spark, a plus
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big Data Software Engineer Resume Examples & Samples
- Test applications against business requirements to assure alignment between businesses needs,
- Bachelor’s Degree in Computer Science (or related course work or job experience)
- Organized with attention to detail
- Unafraid to write code to break code
- Team player with strong entrepreneurial attitude
- Passion for self-improvement and continual learning
- Analytical mind with interest in interpreting data
- Enthusiastic about helping to deliver high-quality applications, and love to break things and
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big Data Software Engineer Resume Examples & Samples
- Cleanse and process large raw data sets using Hadoop ecosystem and RDBMS technologies
- Design and develop web-based Java platforms and services to process, store, and serve large volumes of data at scale
- Help with ad-hoc requests from business partners for reports based on data residing in Hadoop or RDBMS
- Work closely with front end web application and database developers
- Analyze business requirements for complex projects
- Develop proof of concepts of new technologies and evaluate the state of the art in large-scale data processing and distributed computing
- Demonstrate excellent oral and written communication skills to explain and document ideas
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Associate, Big Data Software Engineer Resume Examples & Samples
- Work in cross-disciplinary teams with KPMG industry experts to understand client needs and ingest rich data sources such as social media, news, internal/external documents, emails financial data, and operational data
- Research, experiment, and utilize leading Big Data methodologies, such as Hadoop, Spark, Redshift, Netezza, SAP HANA, and Microsoft Azure
- Bachelor’s degree from an accredited college or university in Computer Science, Computer Engineering, Engineering or a related field with two years of experience; a Master’s degree or PhD is preferred
- Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future
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Manager, Big Data Software Engineer Resume Examples & Samples
- Architect, implement, and test data processing pipelines and data mining / data science algorithms on a variety of hosted settings such as AWS, Azure, client technology stacks, and KPMG’s own clusters
- Translate advanced business analytics problems into technical approaches that yield actionable recommendations in diverse domains such as risk management, product development, marketing research, supply chain, and public policy
- Communicate results and educate others through insightful visualizations, reports, and presentations
- Bachelor’s degree from an accredited college or university in Computer Science, Computer Engineering, Engineering, or a related field with seven years of experience; a Master’s degree with five years of experience or a PhD with two years of experience is preferred
- Fluency in several programming languages such as Python, Scala, or Java, with the ability to pick up new languages and technologies quickly; 3+ years of Java or related software development experience, preferably developing Big Data applications or backend service architectures
- Understanding of cloud and distributed systems principles, including load balancing, networks, scaling, and in-memory vs disk
- Experience with Large Scale distributed computing and Big Data methods, such as MapReduce, Hadoop, Spark, Hive, Impala, Pig, Kafka, or Storm and experience in Object Oriented Design and Development with Java or C++
- Knowledge and experience of Relational Databases (RDBMS), SQL and NOSQL data stores, Git, Jira, and Confluence
- Strong analytical & problem solving skills and strong written and verbal communication skills; ability to work in dynamic team environments and multi-task effectively
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big Data Software Engineer Resume Examples & Samples
- Design and develop high-throughput, low-latency applications for mission-critical systems, delivering high-availability and performance
- Deliver well designed, stable, testable, secure, reusable, extensible, maintainable and efficient code and frameworks
- Ensure designs are in compliance with business specifications and Citi development standards
- Support continuous improvement by investigating alternative approaches or technologies and presenting these for architectural review
- Substantial experience (8+) in the following key technologies
- Languages/Frameworks: Core Java, Java EE, RESTful, PL/SQL, Phoenix SQL
- Frameworks/Patterns: Spring, Hibernate, Camel, Enterprise Integration Patterns
- RDBMS: Oracle, Netezza, MS SQL
- OS: Red Hat Linux
- Hadoop: Cloudera
- Message Middleware: IBM MQ, Tibco EMS, Kafka
- Tools/Methods: Eclipse,Test Driven Development/Automated Testing
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big Data Software Engineer Resume Examples & Samples
- Possess in depth understanding of computer science parallelism concepts and efficient data processing techniques suitable for machine learning applications
- Understand core logic behind various machine algorithms, evaluate available implementation techniques and develop solutions that best solve business problems in analytics domain
- Comfortable working in a fast paced agile environment, closely interacting with business and some of industry’s best software engineers and machine learning scientists
- Open source contributions or robust portfolio of shipped code at GitHub
- Overall 3+ years experience evaluating, designing and/or implementing machine learning applications in big data environment
- 3+ years programming experience using one or more of Scala, Java, Python, C++
- Familiarity with open source machine learning libraries
- 3+ years experience using SQL and traditional data warehouses. Experience with Oracle and IBM Netezza preferred
- 3+ years experience developing over Unix/Linux environment
- MS/Ph.D. in Computer Science or related field
- Experience implementing applications around Natural Language Processing and/or Deep Learning
- Relevant certifications
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big Data Software Engineer Resume Examples & Samples
- Minimum of 5 year’s experience must be in an development role, design, development and operation of distributed, fault-tolerant applications with particular attention to security, scalability, performance, availability and optimization. (plus strong hands-on)
- A strong desire to build high quality applications by creating a well designed architecture, writing clean code and implementing common industry practices such as continuous integration and significant unit test code coverage
- Experience successfully delivering applications using agile methods and collaborating with team members including quality assurance, business analysts and project managers
- Candidate should have significant application development experience with Java and common libraries such as Spring, JUnit, Log4j and Jenkins
- Significant experience building async applications utilizing messaging technologies. Experience with anyone of the following mq, rabbitmq, activemq, kafka
- Significant development experience creating modern single page applications using technologies and frameworks such as AngularJs or similar javascript framework
- Experience creating REST web services with SQL and NOSQL databases
- Experience with cloud computing platforms and services is a plus
- Experience with big data technologies like hadoop, hbase, cassandra, spark is plus
- Experience with web charts/graphs (Angular charts preferred, for creating user-defined processor mappings), d3, or draw2d
- Experience in building Micro-services architecture
- BS in computer science or equivalent
- 2+ years Maven and Build Scripts, Jenkins
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Big Data Software Engineer, Senior Resume Examples & Samples
- Review work and assure adherence to best standards and practices
- BS in Computer Science or related technical discipline or equivalent practical work experience
- You are experienced with architecting, developing and extending large and complex systems
- You need to be a great team worker and a great communicator
- MS or PhD in Computer Science
49
big Data Software Engineer Resume Examples & Samples
- Code and maintain software modules working from written and oral requirements and specifications
- Design and create unit tests for production code
- Participate in peer reviews
- Give input to management on task duration estimation, technical information, and issue resolution
- Review and evaluate designs and project activities for compliance with systems design and development guidelines and standards; provide
- Bachelor’s degree or Master’s degree in Computer Science (or similar field)
- No more than 7 years of professional experience as a software developer since completing degree
- Current big data solutions and services, such as Redshift, Storm, Airflow, Hadoop, Glacier, etc
- Functional programming languages such as Scala, Groovy, or Clojure
- Knowledge of design strategies for developing scalable, resillient, always-on cloud based services
- Information Science and analytics background
50
Senior big Data Software Engineer Resume Examples & Samples
- Work closely with a high-energy, partially distributed team
- Large scale metrics processing, storage and retrieval. This also includes time series data and the late merging of metrics with indexed meta-data
- Work with the data acquisition team to help develop acquisition frameworks, data storage strategies, and integration methods with our search index
- Develop applications that exploit a unique collection of scientific data
- Building well-formed APIs and services to allow the wider Elsevier ecosystem to easily integrate with our applications
- Integrate with wider systems to make data easily available to other Elsevier products
- Work with engineering leads to maintain alignment with overall architecture and design patterns
- Produce appropriate documentation as necessary
- Possess a desire to work within an advanced tech stack including AWS and Cloud based computing while surrounded by a brilliant set of technologists
- Own the implementation of solutions from development through production
- Have a disciplined approach to testing and quality assurance
- Provide mentoring and technical leadership to junior staff
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big Data Software Engineer Resume Examples & Samples
- Design, build, implement and maintain generic components for the ingestion, validation, and structuring of disparate data sources into the Big Data platform
- Produce operational ready code that is maintainable by onshore and offshore resources
- Produce standardised coding designs using industry best practices
- Document generic solutions to the point they can be re-used by other members of the team to perform builds
- Interact with the business, architecture or other members of the team to define and refine requirements
- Peer review and test components
- Personable, curious, intelligent, positive thinker, highly motivated, results driven, quick learner, great communicator
- Extensive coding experience including Python
- Hadoop ecosystem (HDFS, Impala, Hive, MapReduce, Sqoop, Oozie, Pig, HBase, Flume, Spark, Kafka) – Cloudera preferred
- Software development methodologies
- DevOps tools (GIT, Maven, Jenkins)
- Prior roles that demonstrate utilisation of high quality Agile development best practices
- In depth knowledge of at least one scheduling tool (e.g. Control-M, Tidal, Cronacle etc.)
- Preferred – Previous experience developing REST API (using Flask)
- Preferred – Experience working with cloud environments (e.g. Azure, etc.)
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Senior big Data Software Engineer Resume Examples & Samples
- You have a long track record of gathering and creating new ideas, implementing and gaining adoption across the organization. 5+ years of experience required
- You have experience building applications or tools using large-scale big data infrastructure, specifically using Hadoop and Spark
- You are comfortable working in SQL and Java. Experience with ETL tooling/coding, workflow tools, and hive is a real plus
- You have experience with software development in Python
- You have basic knowledge of machine learning (e.g., cross-validation, model fitting, clustering, regression, classification)
- You enjoy mentoring other engineers
- You are comfortable with server-side programming. Web and client-side programming is a plus
- You are, of course, strong with the ways of Computer Science and can analyze and propose algorithms based on complexity
- We’re a Linux shop, so your shell familiarity will help you out from day one
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big Data Software Engineer Resume Examples & Samples
- Bachelor's degree in Computer Science, Engineering, Mathematics or other business-related field
- 4+ year of software engineering
- Expert in designing and developing large-scale distributed systems (Apache Spark, Hadoop or similar)
- Expert in Java or Scala
- Experience with relational and non-relational databases and SQL
- Can performance tune, monitor and measure distributed systems
- Proven experience effectively prioritizing workload to meet deadlines and work objectives
- Demonstrated ability to write clearly, succinctly, and in a manner that appeals to a wide audience
- Ability to obtain and maintain the required Security Clearance for this role
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big Data Software Engineer Resume Examples & Samples
- Design, implement and test requirements
- Ensure compliance to all requirements and maintain accuracy for same and design all technical system documents and
- 7+ years of hands-on IT implementation experience with a successful track record in large enterprises
- Significant hands on experience in Hadoop Platform and echo system (HDFS, Impala, Hive, HBase, Yarn, Spark, Oozie etc.)
- RDBMS / Data modeling / SQL experience a plus (Oracle, MySQL, etc.)
- Strong experience in SQL writing
- Core Java or Scala development experience
- Big data analytics experience a plus (R, Python, Scala)
- Familiar with data lake concept and modeling
- Familiar with modern infrastructure technology and architecture (cloud, virtualization, object stores, etc.)
- Familiar with SDLC tools and agile development methodology
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Big Data Software Engineer Manager Big Data & Analytics Resume Examples & Samples
- Rapidly architect, design, prototype, and implement architectures to tackle the Big Data and Data Science needs for a variety of Fortune 1000 corporations and other major organizations
- Develop skills in business requirement capture and translation, hypothesis-driven consulting, work stream and project management, and client relationship development
- Bachelor’s degree from an accredited college/university in Computer Science, Computer Engineering, or a related field and minimum seven years of big data experience with multiple programming languages and technologies; or Master’s degree and a minimum of five years of experience; or PhD in Computer Science, Computer Engineering, or a related field with minimum three years of big data experience
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Senior Big Data Software Engineer Big Data & Analytics Resume Examples & Samples
- Work in cross-disciplinary teams with KPMG industry experts to understand client needs and ingest rich data sources such as social media, news, internal/external documents, emails, financial data and operational data
- Research, experiment, and utilize leading Big Data methodologies, such as Hadoop, Spark, HDInsight, Azure Data Lake Analytics and Azure Data Warehouse
- Architect, implement and test data processing pipelines and data mining / data science algorithms on Microsoft Azure
- Translate advanced business analytics problems into technical approaches that yield actionable recommendations in diverse domains such as risk management, product development, marketing research, supply chain and public policy
- Communicate results and educate others through insightful visualizations, reports and presentations
- Minimum of five years of data analytics experience with a professional services firm, technology firm, an internal strategy/analytics group, or similar environment
- Bachelor’s degree in a technical or quantitative field from an accredited college or university (master’s or MBA degree preferred) with working knowledge of topics such as computer science, statistics, econometrics, machine learning, operations research, decision science and cloud computing
- Experience designing, architecting, and delivering big data solutions utilizing either the Cortana Intelligence Suite of analytics services part of Microsoft Azure or the Big Data services on Amazon AMS
- Preferred experience with services part of Cortana Intelligence Suite such as HDInsight, Azure Data Lake, Azure Machine Learning, Azure SQL Data Warehouse, Azure SQL, Streaming Analytics, IoT, Bot Framework, Cognitive Services, Data Catalog, Azure Data Factory and Power BI
- Experience with similar Amazon AWS fluency in analytics services such as EMR, RedShift, Kinesis, QuickSight etc. who are interested in also learning Azure
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big Data Software Engineer Resume Examples & Samples
- TS/SCI with Full Scope (polygraph) federal clearance
- 2+ years of hands-on, large-scale, software development/integration experience using Java/JEE technologies
- Prior experience using Hadoop ecosystem technologies, like: Hadoop, HDFS, Spark, MapReduce, Pig, Hive, Flume, Sqoop, Cloudera Impala, Zookeeper, Oozie, Hue, Kafka
- Solid interpersonal skills developed in client-facing, systems implementation projects
- Good understanding of Operating Systems (Unix/Linux), Networks and System Administration
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Big Data Software Engineer, Mid Resume Examples & Samples
- 1+ years of experience with performing systems administration in Windows, Linux, or VMware environments, including performing installation and configuration, monitoring system performance and availability, performing upgrades, using scripting languages to automate tasks and manipulate data, and troubleshooting
- Experience in developing with a third-generation programming language
- Knowledge of enterprise logging, including application logging and regular expressions
- Knowledge of predictive modeling techniques
- Experience with designing, implementing, configuring, and operating Splunk
- Experience with Python or Java
- Experience with Hadoop ecosystem and tools, including Storm, Spark, Accumulo or HBase, or variant NoSQL db
- Experience with statistical software, including SAS, MatLab, and R
- Experience with enterprise scale operations and maintenance environments
- Experience with working in a large enterprise environment and integrating solutions in a multi-vendor environment
- Knowledge of federal information security policies, standards, procedures, directives, frameworks, federal security authorizations, assessment, and risk management processes for enterprise systems
- BA or BS degree in CS, IT, or a related field
- Splunk Architect, Admin, and Splunk Power User Certifications
- CISSP, Security+, or a related Certification
