Data Software Engineer Resume Samples

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SE
S Ernser
Sydnee
Ernser
10032 Jacobi Corners
Detroit
MI
+1 (555) 773 2149
10032 Jacobi Corners
Detroit
MI
Phone
p +1 (555) 773 2149
Experience Experience
San Francisco, CA
Data Software Engineer
San Francisco, CA
Jerde, VonRueden and Collins
San Francisco, CA
Data Software Engineer
  • Working knowledge of configuration management and version control tools
  • Develop new features for Data Science applications
  • Interpret data, analyze results using statistical techniques and provide ongoing reports technical software support
  • Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
  • Build Capabilities – Develop a sense of the business problems that we are trying to solve for and build capabilities that scale and drive real impact
  • Ensure quality by performing thorough testing and leveraging peer reviews for your work and the work of others
  • Grow with us – Help us stay ahead of the curve by working closely with data management team, data engineers, data architects, our DevOps team, and analysts to design systems which can scale overnight in ways which make other groups jealous
New York, NY
Data Management / Analytics Software Engineer
New York, NY
Kilback Group
New York, NY
Data Management / Analytics Software Engineer
  • Identify efficiencies and ways to improve design and development processes
  • Establish auditing procedures to ensure data integrity
  • Research and evaluate alternative solutions and make recommendations
  • System test planning and system test execution
  • Responsible for on-time delivery of high-quality code
  • Build and unit test against specifications
  • Implementation and warranty support
present
New York, NY
Senior Data Software Engineer
New York, NY
Abernathy-Wunsch
present
New York, NY
Senior Data Software Engineer
present
  • Assist with the end to end project management, as well as, ETL development projects within the team
  • Participate in all Development Lifecycle processes
  • Coordinate project tasks and timelines for development within the team
  • Knowledge of relevant technology toolsets relative to data warehousing, e.g., data analysis, database management, Metadata, data cleansing, Transformation Tools
  • Handle individual workload and deliver upon project milestones on time and on budget
  • Perform Data Analysis for end user data requests using SQL
  • Participate in design reviews and provide input to the design recommendations
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Tulane University
Bachelor’s Degree in Computer Science
Skills Skills
  • Advanced knowledge of C++, including templates, STL, Boost, and C++-11 features
  • Excellent troubleshooting skills
  • Knowledge and experience of formal software development practices
  • Experience in developing reusable components in C++
  • Experience in multithreading including use pthread APIs
  • UNIX IPC such as shared memory, pipes, and messages queues
  • TCP and Multicast communications
  • Experience in developing real-time or ultra-low latency C++ software systems
  • Understand debugging with gdb
  • Experience with financial market data
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15 Data Software Engineer resume templates

1

Data Intelligence Software Engineer Resume Examples & Samples

  • Design the platform from scratch to meet real-time, scale-up and high up-time requirements
  • Research existing technological infrastructures
  • Implement both server and client sides
  • Connect to other internal existing platforms within Citi
  • Work with stakeholders in and out of the country
  • Experience & Qualifications
2

Project Data Software Engineer Resume Examples & Samples

  • Act as a Knight of Data Quality – Aggressively drive the design and implementation of tools and technologies to master and clean data to ensure we’re not snared by bad or missing data
  • First-hand experience – Have 3+ years of professional experience focusing on building data movement and integration pipelines (especially ETL/ELT) in a large-scale data environment
  • Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
  • Affinity for sports
  • Proficiency with agile development methodologies.Proficiency with linux/unix based systems
3

Software Engineer for Data Intelligence Group Resume Examples & Samples

  • Design and implementation of a system that can handle near real-time volumes on the order of millions of messages per day
  • Work hand-in-hand with a lead researcher
  • Connect to existing platforms within Citi
  • 5 years’ experience in Java programming – must
  • Experience in Hadoop and Map Reduce – must
  • High level of software craftsmanship
  • Proven server side experience on complex platforms
  • Experience with NLP/machine learning technologies – advantage
  • Experience working in agile development – advantage
  • Experience in the financial market / software – advantage
  • Academic degree in computer science or equivalent
  • Independent/self-learner, motivated to prove oneself in the hi-tech world
  • Excellent interpersonal and communication skills (Hebrew and English)
4

Manager, Data Visualization Software Engineer Resume Examples & Samples

  • Rapidly iterate, prototype, and implement visualizations that meet client visualization needs, considering composition, color, texture, and optimizing the depth and information density for the target user
  • Utilize interactive drill-downs, movements, and highlights to add layers of insight, and engage users to explore data
  • Explore a variety of visualization methodologies, from Data Discovery (such as Tableau, Qlikview), custom javascript methods (such as d3.js, raphael.js), and multichannel/mobile deployment
  • Bachelor’s degree from an accredited college or university in Information Design, Interaction Design, User Experience, Human Computer Interaction, Informatics, Data Science, Computer Science or a similar field with seven years of experience; a Master’s degree with five years of experience, or a PhD with two years of experience
  • Ability to perform data tasks, working with a variety of SQL, NoSQL, and HDFS data stores, and preparing data for visualization
  • Solid understanding of visual composition and visualizations; familiarity with ethnographic research preferred
  • Experience with one or more of the following: data discovery software (such as Tableau or Qlikview), web-based visualization (d3.js, raphael.js) or Javascript/Python visualization methods
5

Software Engineer Real-time Market Data VP Resume Examples & Samples

  • You will join the Real-Time Market Data development team to work as a hands-on C++ developer
  • The primary focus your efforts will be as a server-side development resource for project work in a global development team
  • You will also participate in and contribute to the design and development of the team's core infrastructure
  • The role will also involve working with application teams to understand requirements and define potential solutions
  • You will have responsibility for all aspects of the project lifecycle from requirements to deployment and subsequent Level 3 support
  • The role also involves undertaking in-depth data analysis on the Market Data content itself
  • You will design and develop products to add value to the services the team provides
  • The role will include developing new market data feeds and calculations
  • You should also expect to be involved in enhancing existing systems to meet new requirements
  • You will also provide Level 3 support
  • Experience with financial market data
  • Advanced knowledge of C++, including templates, STL, Boost, and C++-11 features
  • Experience in developing real-time or ultra-low latency C++ software systems
  • Experience in developing reusable components in C++
  • TCP and Multicast communications
  • UNIX IPC such as shared memory, pipes, and messages queues
  • Experience in multithreading including use pthread APIs
  • Knowledge and experience of formal software development practices
  • Understand debugging with gdb
  • Perl and shell scripting
  • Self-motivated and ownership mentality
  • Understand performance verification and optimization tools like Valgrind, Purify and Quantify
6

Software Data Engineer Internship Resume Examples & Samples

  • Bachelor's candidate in a pertinent degree (e.g. Computer Science, Software Engineering, Applied Statistics/Mathematics, etc.)
  • Communication that is clear, logical, and cordial
  • A helpful, collaborative, and team-oriented attitude
  • Insatiable appetite to learn
  • Professional poise
  • Grit to make it through the difficult problems
  • Pride and ownership to want to make everything better
  • Desire to work with code and data
  • Basic statistics and an intuition for data
  • Basic software development principles (e.g. "Don't Repeat Yourself")
  • Git and GitHub
  • Apache Spark
  • SaltStack
  • KanBan Workflows
7

Software Engineer, Consumer Data Platforms Resume Examples & Samples

  • Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery
  • Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies
  • Not your first rodeo – Has 4+ years of experience developing with a mix of languages (Java, Scala, Bash, etc.) and frameworks to implement data ingest, processing, and serving technologies. Experience with real-time and very large scalable online systems are preferred
  • Data and API ninja –You are also very handy with No-SQL systems such as HBase, MongoDB, or Cassandra; Understand reactive programming such as ReactiveX/RxJava and dependency injection such as Spring to develop REST services. Know and can performance tune ANSI SQL like the back of your hand
  • Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as EMR, Kafka, Hive, Chef. You’ll have some experience with developing in a cloud native environment
  • Passion and creativity – Are passionate about data, technology, & creative innovation
  • Experience with cloud platforms such as AWS, linode, Azure, Heroku, or OpenStack
  • Experience with Apache Kafka, kinesis, or Google Pub/Sub
  • BS Computer Science or related technical discipline or its equivalent
8

Data Software Engineer Resume Examples & Samples

  • Build Capabilities – Develop a sense of the business problems that we are trying to solve for and build capabilities that scale and drive real impact
  • Help design the big picture – Actively participate in continually improving our data schemas, models, maps, and linkages so we can harness the collective power of our 40+ datasets
  • Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data profiling, investigative mining, and discovery
  • 0 - 2 years of related experience or it's equivalent
  • First-hand experience – educational experience focusing on software engineering using Java
  • Have a data toolbox – Familiar with technologies relevant to the data and integration space including Hadoop, Redshift, Python, DI/DQ tools (like Talend), and MDM tools (such as Falcon)
  • Experience with AWS, linode, Azure, Heroku, or OpenStack
  • Experience with Virtual Box, Docker, Etc
  • Experience with Apache Kafka, Spark, Hadoop
  • Proficiency with linux/unix based systems
  • BS or BA in Computer Science, engineering, mechanical or mechatronics engineering or closely related field or its equivalent
9

Data & Analytics Software Engineer Resume Examples & Samples

  • Work with the D&A organization on productionizing the analytics code and applications on the platform
  • Deliver cutting edge technology solutions to accommodate the firm’s rapid growth, to streamline workflows and improve efficiency of businesses
  • Design, build and extend our data and analytics platform with new services
  • Develop applications on the big data platform to surface the analytics for the different teams
  • Develop a scalable architecture for web crawlers
  • Model complicated data patterns and structures to predict and test patterns
  • Design, architect and develop low latency solutions to help different teams
  • Systematically diagnose and root cause component failures
  • 2+ years of experience in similar role
  • Holds a degree of Bachelors/Masters in Computer Science or a technical related field
  • Demonstrated academic success as reflected in a cumulative GPA of 3.4/4.0
  • Outstanding Python skills
  • Other programming skills is a plus
  • Solid analytical, writing, verbal, technical and organization skills
  • Experience with market data providers (Bloomberg Server API/Data License/B-Pipe, Reuters) is a plus
10

Senior Data Analytics Software Engineer Resume Examples & Samples

  • Data acquisition (streaming and batch) from disparate systems
  • Data aggregation
  • Machine learning, statistical analysis, and time series analysis
  • Exposing data and results to consumers
  • Near-realtime data science to inform and drive the cloud storage product
  • Spark, Hadoop, Cassandra, Storm, Druid, or other distributed compute platforms
  • Mesos, Docker, Kafka, Distributed File Systems
  • MLLib, R
  • Monitoring and alerting, anomaly detection
  • SQL, NoSQL, and data modeling experience
  • Experience developing high traffic/throughput systems
  • Knowledge of cloud compute technologies including object storage
  • Experience with distributed database systems and messaging systems
  • Familiarity with microservice deployment models
11

Big Data Sre-software Engineer Resume Examples & Samples

  • Experience supporting hosted services in a high-volume customer facing environment
  • Experience in one or more of: C, C++, Java, Python, Go
  • Experience with Hadoop, Cloudera, Pig, Splunk or other big data frameworks
  • Experience with Puppet, Chef, or Ansible for configuration management
  • Experience with relational databases such as SQL, DB2, HBase
  • Background building distributed, server-based infrastructure supporting a high volume of transactions in a mission critical environment
  • Excellent communication skills and ability to work closely with operations and development teams
  • Demonstrated ability to work on small, focused teams to complete critical milestones under pressure with tight deadlines
  • Drive to take initiative and own issues
12

Senior Principal Data / Software Engineer Resume Examples & Samples

  • Work with a team to develop creative and scalable solutions to difficult technical problems
  • Be self-supportive in collaborating with world-class scientists to design and deploy data solutions to identified scientific problems related to drug discovery
  • Stay current on other trends and technologies in the field and be a force for disseminating that information throughout the organization
13

Tesla HPC Data Analysis Software Engineer Resume Examples & Samples

  • LAMP (Linux+Apache+MySQL+php) as the primary database
  • Linux shell script knowledge
  • MySQL -- storage and SQL programming language
  • PHP -- server site script language
  • Javascript -- client site scripting language
  • HTML/CSS -- Website implementation
  • Python -- for production log file parsing into the database
  • Understanding of Regular Expressions
  • JQuery and Smarty
14

Data Visualization Software Engineer Resume Examples & Samples

  • Work in cross-disciplinary teams with KPMG industry experts, data scientists, and software engineers to gauge client needs for consuming analytics, understand user profiles, competencies, and priorities
  • Utilize analytics to explore data, and identify key trends and insights from multi-faceted, and high-dimensional data, and work with data scientists to create diagnostic, predictive, and prescriptive insights
  • Bachelor’s degree from an accredited college/university in Information Design, Interaction Design, User Experience, Human Computer Interaction, Informatics, Data Science, Computer Science, or similar field with five years of experience, Master’s degree with two years of experience or PhD with one year of experience
  • Solid analytical skills and basic understanding of statistical and machine learning models
  • Experience with one or more of the following: data discovery software (such as Tableau or Qlik), web-based visualization (d3.js, raphael.js) or Javascript/Python visualization methods
15

Data Services Software Engineer Resume Examples & Samples

  • 4+ Years of software development experience
  • Strong coding skills with the following languages, development tools/systems or similar technologies
  • Experience with Linux OS
  • Experience in DevOps processes and CI/CD management tools
  • Experience with AWS cloud infrastructure
  • Experience with scrum software development framework
  • Familiar with software containerization using Docker and programming of distributed systems
16

Software Data Analysis Engineer Resume Examples & Samples

  • 2+ years of experience in software development OR a MS in one of the above fields
  • Strong education and background in applied mathematics and statistics
  • Demonstrated ability to model complex systems and develop efficient algorithms
  • Knowledge of data mining techniques such as regression, classification, and clustering
  • Experience with numerical programming in Python and/or MATLAB
  • Training or experience in software application development using C, C++ and/or Java
  • Ability and willingness to obtain and maintain TS/SCI clearance
  • Experience with the full software development life cycle on Unix/Linux platforms
  • Experience with basic signal processing techniques such as Fourier analysis and filtering
  • Experience with machine learning algorithms including neural networks, support vector machines, and/or other machine learning techniques for applications such as information retrieval, speech/handwriting recognition, or search engines
  • Experience working with databases. big data analytics, and distributed processing
17

Data Protocol Stack Development Software Engineer Resume Examples & Samples

  • 1 to 8 years of industry or academic experience in the following areas is required: Software development experience in the C, C++ or Java
  • Embedded SW systems development and integration
  • TCP/IP Networking protocols Mobile IP Communication Protocol stack development RTOS (Real Time Operation Systems)
18

Financial Software Data Engineer Resume Examples & Samples

  • Maintain and enhance software used for financial analysis, transaction pricing and reporting
  • Build and enhance front end reporting applications using VBA, Access, SQL Server
  • Pull data from data warehouses using SQL and Python
  • Work continually on ways to improve data input and data output applications for reporting
  • Create and Generate business reports-understand the results
  • Maintain accuracy and report quality
19

Software Development Engineer for Big Data Analysis Resume Examples & Samples

  • BEng or MEng incomputer science / software
  • Knowledge in coding withJAVA / Architecture / Big Data Technology : platform Hadoop, InfluxDB, Cassandra and technologies related
  • Knowledge of relational data models and different storage modules (NoSQL, HDFS), data analysis methods are required
  • Knowledge in the field of Machine Learning would be a plus
20

Data Tools Software Engineer Resume Examples & Samples

  • Experience with JavaScript, HTML, & CSS
  • Experience with User Interface Development
  • Familiarity with Object Oriented Design
  • Familiarity with Software Engineering Design Patterns
21

Data Pipeline Software Engineer Resume Examples & Samples

  • Implement core technologies for Altiscale Data Pipeline
  • Build components that allow the Data Pipeline Team and others to analyze historical data from our infrastructure
  • Analyze data gathered to highlight performance and interaction of systems in our infrastructure
  • Demonstrate deep problem solving skills and the ability to learn quickly and innovate to find novel solutions to problems
  • Self-driven and obsessive about great engineering
  • 3-5 years of experience with building Big Data infrastructure applications using Hive, Map Reduce, Spark, Pig
  • Built a data acquisition pipeline and deal with the backend delivery of that data
  • Ability to use analytical tools like Tableau, Alation and others to analyze meta data to gain insight on jobs that are run in a Big Data Infrastructure and the impact of those jobs
  • Expert level proficiency in one or more of the following languages: Java, Ruby, C/C++, Python,SQL
  • Experience developing and extending modern build-chain tools, such as Maven, Jenkins, Git, as well as deployment tools such as Chef
  • Delivered projects using Agile processes
  • BA/BS in Computer Science or closely related degree (Master/PhD preferred)
  • Excellent written/oral communication skills
22

Data Engineer Mobile Software Resume Examples & Samples

  • Develop reliable data pipelines that convert raw data into powerful signals and features
  • Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data platform for business intelligence analytics
  • Define new and optimize existing standard ETL routines/processes, to enable business users with relevant data feeds for timely business decisions
  • Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies
  • Combine broad and deep knowledge of relevant researches to model end user behavior through quant analysis, empower the ability to draw conclusions from data and recommend actions
  • Collaborate with other internal and external Analytics & Engineering teams to drive improvements in data quality and insights
23

Software & Data Analytical Engineer Resume Examples & Samples

  • Designs and codes software components, units, and modules that meet product specifications and development schedules
  • Writes and updates technical documentation such as user manuals, system documentation, and training materials
  • Advises hardware engineers on machine characteristics that affect software systems, such as storage capacity, processing speed, and input/output requirements
  • Maintains current knowledge of relevant technology as assigned
24

Experienced Software Engineer for Data Intelligence Group Resume Examples & Samples

  • Take ownership over implementing highly complex business scenarios
  • Design and implementation of enterprise software components and services
  • Design and implementation of a system that can handle real-time volumes reaching millions of messages per day
  • Connect and integrate with other internal platforms within Citi
  • High level of software craftsmanship and skills
  • Proven Server side experience with complex and multi-threaded platforms (at least 5 years)
  • Experience in Java programming
  • Experience in Spring
  • Experience in NoSQL
  • Has the ability to lead people by example, individual with a determined ‘can-do’ attitude. Passion to mentor people and help them develop their software skills
  • Assertive and mature personality
  • A keen interest in continually evolving software development processes
  • Ability to consider high level system requirements and design accordingly while developing individual features
  • Academic degree in Computer Science or equivalent
  • Experience working in agile development - an advantage
  • Experience in the financial market / software - an advantage
  • Experience in performance testing and fine tuning - an advantage
25

Client Reference Data-software Engineer Resume Examples & Samples

  • Design and Development of key functionality within the application
  • Strong Java, J2EE development experience
  • Exposure to UI development
  • Strong technical development experience on effectively writing code, code reviews, best practices on configuration management and code refactoring
  • Proficiency in SQL and Database development
  • J2EE & OO Design Patterns
  • Proven problem solving and analytical skills
  • A delivery focused approach to work and the ability to work without direction
  • HTML5 / Angular JS Development skills
  • Exposure to Rules Engine, preferably Drools
  • Exposure to BPM tools, preferably JBPM
  • Experience or knowledge of client reference data as it relates to an Investment Bank would be an advantage
  • An understanding of the investment banking and client reference data experience in one or more of the following business areas:: Fixed Income, FX, F&O, Credit Derivatives, Interest Rate Derivatives, and Hedge Funds
  • Experience in Agile development techniques like Scrum and Test Driven development
  • Exposure to Git, maven, concordian/fitnesse, crucible, sonar and JIRA desirable
  • Excellent Communication and Inter-personal skills, both with business customers and with fellow IT professionals (Business Analysts, Project Managers and Developers)
  • Ability to work to deadlines
26

Software Engineer, Amazon S Data Intelligence Resume Examples & Samples

  • Proficient in professional software engineering practices for the full software development life cycle
  • Experience influencing Agile engineering practices (Scrum, continuous integration and continuous deployment, etc.)
  • Strong track record of building complex software systems that have been successfully delivered to customers
27

Software / Data Engineer Resume Examples & Samples

  • Provide operational support for the Garmin Hadoop clusters
  • Develop reports and provide data mining support for Garmin business units
  • Participate in the full lifecycle of development from conception, analysis, design, implementation, testing and deployment, and use Garmin and Third Party Developer APIs to support innovative features across Garmin devices, web, and mobile platforms
  • Performing builds and deployments to various testing and development environments, building and maintenance of automated build and deployment tools (strong skills in subversion, GIT, Jenkins, Rundeck are preferred)
  • Use your skills to design, develop and perform continuous improvements to the current build and development process
  • Expert computer skills (Linux and Mac or PC)
  • Must be team-oriented, possess a positive attitude and work well with others
  • Must be flexible and able to work effectively and proactively in a fast-paced environment with minimal supervision
  • Must have good organization skills and have the ability to prioritize multiple tasks
28

Software Engineer, Financial Data Resume Examples & Samples

  • Develop cloud-based systems and design corresponding API's
  • Develop and maintain systems that process large amounts of data
  • Maintain a high standard of code quality, test coverage and documentation
  • Design automated testing, continued integration and continued deployment for your own code
  • Participate in code reviews with other team members
  • BS/MS/PhD in Computer Science or another STEM field, OR demonstrating a good understanding of the fundamentals of Computer Science
  • A firm grasp of software architecture, object-oriented programming, network, data structures and algorithms
  • Experience with C++ OR PySpark
  • Experience with a relational database, preferably PostgreSQL
  • Experience with Linux and shell scripting, preferably in bash
  • A love of automation
29

Data Analyst / Software Engineer Resume Examples & Samples

  • Bachelor’s degree in Geoscience, Computer Science, or related field or equivalent experience
  • Good working knowledge in E&P industry and/or data management is preferred
  • Proven experience with SQL/ PLSQL and UNIX
  • Proven analytical, problem-solving skills and design techniques
  • Excellent interpersonal skills to effectively communicate technical information to both technical and non-technical personnel
  • Must be able to work effectively independently and as part of a project team
30

Data Services Software Engineer Intern Resume Examples & Samples

  • Understand functional requirements and participate in requirement reviews, providing feedback to product management
  • Work with senior engineers to design and implement new features within our technology stack, ensuring that your feature successfully progresses to production and that it is documented for all consumers
  • Keep on top of task and bug management system for assigned issues
  • Contribute ideas for continually improving the team’s productivity, job enjoyment, and code quality
  • XML Related technologies XSLT/XPath
  • Python, Ruby
  • Continuous Integration + Delivery concepts
  • Familiar with development tools such as source control (e.g. SVN), IDE (e.g., Eclipse, IntelliJ), Jira
  • JUnit, Test frameworks
  • Debugging
  • Profiling
  • Big Data (Spark/Hadoop)
31

Data Software Engineer Resume Examples & Samples

  • Manage requirements gathering and user testing processes
  • Lead the development and enhancement of software application modules but also be able to code when necessary
  • Facilitate design reviews with business stakeholders and technical team members
  • Communicate with as well as direct an Offshore team
  • Participate in design reviews and provide input to the design recommendations
  • Incorporate security requirements into design
  • Understand the structures, usage and sources of data
  • Support all technology projects in the analysis, documentation and socialization of data requirements in accordance with the needs of the technology program
  • Support day to day production inquiries and questions from other technology groups
  • Handle individual workload and deliver upon project milestones on time and on budget
  • Coordinate project tasks and timelines for development within the team
  • 5+ years of relevant experience working with ETL or Big Data venues
  • Financial Industry background including Trust and Custody, Deposits, Reference Data (Client and Securities), Credit and Risk analytics, Brokerage and Banking Systems is strongly desired
  • Knowledge of Data Warehousing/Big Data design and related toolsets
  • ETL experience with data warehouse/datamarts
  • Strong Analytic and Problem Solving Skills
  • Ability to document technical specifications
  • Proficient in SQL, and experience with Stored procedures
  • Experience with Data Modeling
  • Experience working with virtual /offshore teams (giving directions, code reviews, etc)
  • Involvement in all parts of the project lifecycle
32

Senior Big Data Metrics Software Engineer Resume Examples & Samples

  • Developing tools and methods for analyzing a large and unique collection of scientific data
  • Develop tools to aide in the remediation of data and metric issues
  • Work with a UI developer to add tools to our internally facing suite for other team members to use
  • Work with data/metric acquisition and processing architects and developers to improve processes with the goal of producing more accurate results
  • Integrate with wider systems to make accurate data and metrics easily available to other Elsevier products
  • Own data analysis and accuracy for all Research Metrics produced within Elsevier
  • Engage in a positive, constructive approach with an emphasis on collaboration and good execution
  • Experience processing and analyzing large datasets
  • 5+ years developing and deploying large scale, high-performance distributed systems
  • 5+ years’ experience with both SQL and No-SQL stores such as MongoDB or Cassandra
  • Experience with Index and Search technologies such as ElasticSearch or Solr would be utilized as well
  • Experience with Spark or the Hadoop ecosystem and similar frameworks
  • Excellent communication skills that enable you to work with distributed teams across multiple time zones
  • Agile experience with Scrum and the use of Jira, Confluence and continuous build and integration systems such as Bamboo
  • Experience with agile engineering practices such as TDD, Paired Programming, Continuous Integration, automated testing and deployment
  • Experience with Java in a Unix environment
  • Proficient working with Git
  • Experience with Scala, Python or R
33

Software Data Engineer Consultant Resume Examples & Samples

  • Experience with PostgreSQL Databases and Amazon Redshift. (Most Important)
  • Strong background in OO based software design, integration and troubleshooting, with expertise in a dynamic language. Python is Preferred
  • Experience with big data technologies (Spark Streaming, Kafka, NoSQL, Time-Series)
  • Understanding of software security and threat models, data governance concepts and experience building secure applications
  • Experience working in an agile team
  • Familiar with AWS ElastiCache, ec2 etc
34

Data Management / Analytics Software Engineer Resume Examples & Samples

  • Identify efficiencies and ways to improve design and development processes
  • Participate in the definition of Operational Data Stores and data marts that perform well and meet the client expectations. Works with other team members, including DBA's, Technical Architects, QA and Business Analysts
  • Insure that solutions are not one-offs, but can be leverage across the organization
  • 10+ years of professional experience in Data Management and Analytics development; hands on experience with Informatica and/or Oracle highly preferred
  • Proven experience leading development teams to meet the goals of the project; mentoring less experienced team members
  • Proven experience in all phases of the Software Development Life Cycle (SDLC)
  • Proven ability to work with a project team to develop a strategy, technical solution, and ultimately to implement high quality technical solutions
  • Demonstrated understanding of the criticality in adhering to architecture standards, risk management and security policies
  • Proven experience leading presentations in architecture review, strategic technology directions, best practice development, etc
  • Experience with issue resolution processes for application production problems
  • Demonstrated ability prioritizing and managing development and implementation of enhancements/changes to multiple applications
  • Proven ability overseeing installations and Release Management including the final production acceptance review and signoff
  • Experience with Informatica Power Center, Power Exchange, Metadata Manager, Data Explorer, Data Quality tools required
35

Data Integrity Software Engineer, Itunes GBI Resume Examples & Samples

  • Hands on experience with data quality tools across data pipeline processing in relational and BigData systems
  • Development experience to build data quality tools
  • Technology knowledge of Hadoop HDFS, Hive, Spark, Vertica
  • Successful track record of building and deploying data quality tools across a data pipeline systems
  • Great understanding of accurate data definition, type of data quality checks, data variances, predictive data patterns, duplicate data detection
  • Knowledge of different Data Science models and its implementation details to detect anomaly in a data pipeline. Also train the model to prevent false positives
  • Proactively initiates, develops, and maintains effective working relationships with team members
  • Strong written, verbal, and presentation skills
  • Demonstrated experience of collaboration in fast paced environment with minimal guidance. Proactive, results-oriented attitude
  • Ability to generate options and create a positive working experience in fairly agile business situations
36

Big Data Software Develop Engineer Resume Examples & Samples

  • Interact with our IT business partners, developers, testing and other associated teams
  • Work with onshore and offshore technical resources as needed
  • Excellent communications (written & oral), planning, interpersonal and time management skills
  • 3 -5 years of experience in software development working with cross-functional teams and formal SDLC processes
  • 3-5 years Big Data experience Hadoop-Hortonworks,Spark/Scala or Hive
  • 3-5 years of API,JSON programming experience
  • Experience with conversion for Non Relational data to Big data is preferred
  • Bachelor Degree in Computer Science, Information Systems or other related field
37

Maps Data Software Engineer Resume Examples & Samples

  • Must be proficient in Java and Python
  • Must be able to navigate JSON docs in order to figure out JSON-path or python parsing to get at JSON objects.  
  • Must be familiar with object-oriented databases and how to build queries
  • Must be effective working in a Unix environment and managing your code in a Git based team environment with large numbers of contributors
  • Must be familiar with good code review practices
  • Must strong at troubleshooting possible failures, and performing root cause analysis
  • Artifactory
  • GIS Experience
  • Familiarity with Hadoop, Spark, and/or protocol buffers
38

Software Engineer IT SYS Finance Data Resume Examples & Samples

  • 3+ years of experience as a tester
  • Hands on experience with relational databases (for example Oracle) and SQL
  • Experience with data warehouses
  • Strong analytical skills; ability to pick relevant information from large amounts of data and information
  • Deliver results
  • Personal development
  • Compassion
39

Senior Data Software Engineer Resume Examples & Samples

  • Work with business users to document requirements for new data sources and reports
  • Participate in all Development Lifecycle processes
  • Manage large and complex requirements gathering efforts
  • Support/Maintain source code with automated tools (preferably GIT)
  • Perform Data Analysis for end user data requests using SQL
  • Collaborate with Information Architecture and Business Analysis teams in formulation of requirements for data across all of Private Banking’s product lines including Deposits, Trust, Credit, Risk Analytics and Client Reference Data
  • Develop appropriate requirements documentation in line with SDLC framework including Data Requirements, Mapping and Test Plans
  • Assist with the end to end project management, as well as, ETL development projects within the team
  • Establish strong working relationships with team members and across the business as appropriate
  • Demonstrate ability to work in a team environment for resolution of issues
  • 5+ years of relevant experience working with ETL (Informatica) or Big Data venues
  • Knowledge of relevant technology toolsets relative to data warehousing, e.g., data analysis, database management, Metadata, data cleansing, Transformation Tools
  • Relational Database Experience
40

Data Modeling Software Engineer Resume Examples & Samples

  • Logical and Physical modeling for Data warehouse
  • Semantic layer modeling. Dimensional modeling to support Data Warehouse and Marts
  • Provide leadership to junior team members and offshore modelers
  • Perform data analysis on source systems, data warehouse subject areas, and reporting data structures
  • Leading data modeling discussions with Business in JAD sessions
  • Ensure data quality within the ecosystem, by aligning to guidelines, standards, and procedures
  • Decompose requirements into project specific deliverables and prioritize
  • Strong SQL skills to pull data from Teradata/Oracle and perform usage analysis and/or data profiling
  • 10+ years of experience in Data Warehouse environment with emphasis on data modeling involving design, coupled with strong knowledge of end-to-end data warehouse development life cycle (data integration, logical and physical modeling, and data delivery) supporting enterprise analytics and BI solutions
  • 7+ years of progressive experience in Data modeling with emphasis on Dimensional modeling
  • 5+ years of enterprise level data design and development
  • Hands on experience with modeling tool such as ERWIN or another tool
  • Understand Big data architecture for analytics and is capable of developing solutions per firm standards
  • Working in a fast pace environment handling multiple project deliverables
  • Functional knowledge/experience of the Consumer Banking/Financial Services Industry
  • Ability to exercise independent judgment and creative problem-solving techniques in a highly complex environment using technology and/or integrating diverse user systems
41

Software Development Data Engineer, Junior Resume Examples & Samples

  • Experience with developing and using data collection tools and providing data reports
  • Experience with using Microsoft Access and Excel to develop creative client-ready products
  • Experience with conducting trend analysis on large data sets and providing corrective action plans
  • Experience with object-oriented computer programming
  • Ability to work in a team-oriented, inclusive, very collaborative work environment with a team to achieve consensus
  • 1 year of experience with SQL, Java, C++, and VBA
  • Experience with data migration strategies
42

Software Development Data Engineer, Senior Resume Examples & Samples

  • 6 years of experience with developing and using data collection tools and providing data reports
  • 4+ years of experience with conducting trend analysis on large data sets and providing corrective action plans
  • 4+ years of experience with object-oriented computer programming
  • 2 years of experience with SQL, Java, C++, and VBA
  • Experience with gathering and analyzing quantitative and qualitative data
  • Knowledge of data modeling
43

Master Data Software Engineer Resume Examples & Samples

  • Establish overall implementation view, identification of major system interfaces, development of module reuse on an enterprise-wide scale
  • Very hands on with the solution implementation including installation and deployments
  • Knowledgeable in the concepts associated with MDM services, data model, technical features etc
  • Configuration and code review with project resources
  • Documentation of several deliverables including design Interface, code, test plans, and error handling
  • Desirable to have good experience in PME algorithm tuning
  • Desirable to have experience on coding BPM solutions
  • Build, unit test, system test, performance tune and debug MDM or similar applications using Java, EJB, XML, XSD and other industry standard tools and technologies
  • Minimum 8-10 years overall IT experience
  • 6+ years’ experience in Data Application (i.e. IBM MDM) implementations
  • Knowledgeable in applications similar to IBM MDM services, data model, technical features etc
  • Desirable to have Experienced on coding BPM solutions
44

Data Software Engineer Resume Examples & Samples

  • Interpret data, analyze results using statistical techniques and provide ongoing reports technical software support
  • Operate and provide support to existing and new software systems
  • Develop and implement data automation software solutions
  • Develop and implement basic level databases, support data collection/data analytics systems
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Filter and “clean” data by reviewing reports, printouts, and performance indicators to locate and correct source or data problems
  • Work with management to prioritize business and information needs
  • Review operational deltas, issues and successes to ensure valid technical assumptions, improvements and procedure changes are captured and implemented
  • Locate and define new process improvement opportunities
  • Work with regional and global teams to ensure resilience of service and information security
  • Handle special projects as assigned
  • Conduct all business activities in accordance with Baker Hughes HSE policies, Legal Compliance requirements and Baker Hughes Core Values
45

Software Engineer, Rental Data Analytics Resume Examples & Samples

  • Quickly process millions of real estate listings to identify interesting relationships
  • You’ll build tools that will power machine learning applications
  • Iteratively design & build optimized big data pipelines using parallel and distributed processing to keep data flowing as fast as possible
  • You’ll build dashboards that will let us explore and analyze massive amounts of data
  • Work closely with data scientists & engineers, implement highly scalable big data & machine-learning applications
  • You'll collaborate with, learn from, and mentor other engineers
  • Imagine new features and improvements, and drive them to completion
  • Write elegant, robust, efficient, and readable code that solves complex problems quickly
46

Data Visualization Software Engineer Resume Examples & Samples

  • Degree in Computer Science or similar
  • Proven track records in building data-intensive visualization front-ends, with a focus on user experience, simplicity and elegance
  • Excellent programming skills in Javascript (D3.js, Canvas, WebGL, etc.)
  • Experience in web design and web development using React, Redux, ReactNative
  • RESTful API design and testing
  • Experience with git and git concepts
  • Excellent quantitative, analytical and communication skills
  • Attention to detail and an eye for aesthetic design
  • Experience in data science, machine learning or statistics is a plus
  • Excellent English spoken and written skills is a must
47

Data Quality Software Engineer Resume Examples & Samples

  • Lead cross-functional linked teams to facilitate process understanding, identify weaknesses, gaps, and interdependencies to drive for continuous improvement in data management
  • Makes recommendations driving for continuous improvements in data quality
  • The ability to extract and manipulate information is essential to this position
  • Execute analyses, identify issues, and perform pro-active audits of all types of data
  • Measure and document improvements realized from implemented changes
  • Provide as-is process metrics baselines and establish to-be goals to support continuing process improvement
  • Prepare/Present data results, conclusions, and recommendations driving for continuous improvements to process stakeholders and leadership
  • Act as an MDQ consultant or liaison to partners and customers
  • Conduct internal and external research to identify benchmarks and determine potential solutions
  • Create As-Is and To-Be process documentation for the MDQ areas of focus
  • Develop Master Data Management software in ABAP for the SAP environment
  • Must be proficient in the use of standard systems and tools to manipulate and manage data (SAP, MS Excel, MS SharePoint, SQL, Information Steward, etc.)
48

Software Engineer IT SYS Finance Data Resume Examples & Samples

  • 2-4 years of experience as a tester
  • Passion for testing and high quality
  • Structured
  • Eager to learn and improve
  • Agile mindset
  • Enthusiastic
49

Software / Data Engineer Resume Examples & Samples

  • Design, code, and test engineering computing systems
  • Modify, test, and troubleshoot existing tools and utilities
  • Apply knowledge of engineering processes to develop computing systems
  • Monitor and perform maintenance on existing systems
  • Produce and maintain documentation on system processes
50

Data Software Engineer Resume Examples & Samples

  • Develop new features for Data Science applications
  • Assist in fixing and triaging bugs
  • Ensure quality by performing thorough testing and leveraging peer reviews for your work and the work of others
  • Embrace and demonstrate our values: humility, creativity, and independence