Data Platform Engineer Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the data platform engineer job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.

USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.

SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Create a Resume in Minutes

A Runte

Arnold

Runte

870 Koss View

Boston

+1 (555) 159 9267

870 Koss View

Boston

Phone

p +1 (555) 159 9267

Experience Experience

Philadelphia, PA

Big Data Platform Engineer

Philadelphia, PA

Emard Inc

Philadelphia, PA

Big Data Platform Engineer

Implementing new services to agreed SLA’s and ensuring transition to support or standardise services to Global services
Should believe in You Build! You Ship! And You Run!philosophy
Work with engineering support on upgrades of the cluster participating in the installation, configuration and administration of multi-node Big data platforms
Define and build lightweight (low-overhead) monitoring system characteristics, in real time, and tools for correlating and analysing those statistics for the Big Data infrastructure to ensure good health of the infrastructure
Troubleshoot cluster & ecosystem product issues as a priority with expertise & lead through to resolution working to SLA’s as defined within the Operational environment
Passion for software engineering and craftsman-like coding prowess
Server Operating systems internals, benchmarking and performance tuning (Linux)

Chicago, IL

Senior Data Platform Engineer

Chicago, IL

Cole-Monahan

Chicago, IL

Senior Data Platform Engineer

Develop framework, metrics and reporting to ensure progress can be measured, evaluated and continually improved
Assist application development teams during application design and development for highly complex and critical data projects
Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink, Storm, NIFI and Kafka
Operationalize data management and governance tools on an open source framework
Work with a team of engineers and developers to deliver against the overall technology data strategy
Integrate with BI tools and work with user interface engineers to visualize the output of queries and analytics performed on the data
Drive knowledge management practices for key enterprise data platforms and collaborate within solution design and delivery

present

Chicago, IL

Senior Big Data Platform Engineer

Chicago, IL

Dicki-Mosciski

present

Chicago, IL

Senior Big Data Platform Engineer

present

You are a self-starter and can work independently on technical projects but also work collaboratively with project team members through an agile development
You will perform Administration, Performance Tuning & Capacity Planning on Large Scale Clusters (Hadoop/Kafka)
Understand which technologies work in a multi-tenant environment and which do not
Participate in collaborative software and system design and development of the new platform
Work on large-scale, multi-tier big data engagements
You are involved in usage/performance forecasting/modeling and monitoring
Understand the challenges of working across data centres

Education Education

Bachelor’s Degree in Computer Science

University of Florida

Bachelor’s Degree in Computer Science

Skills Skills

Your online identity: Github, Twitter, blog, and portfolio. If you don't have a profile on Github, links to code samples are also helpful
Very strong technical communication, written and spoken
Experience with solving problems and delivering high quality results in a fast paced environment
1+ years experience with Linux/Unix experience including basic commands, shell scripting and solution engineering
Experience with various tools and frameworks that enable capabilities within the data ecosystem (Hadoop, Kafka, NIFI, Hive, YARN, HBase, NoSQL)
Experience developing data solutions on AWS
1+ years Hadoop administration experience
Cover Letter that answers the question: what is the toughest thing you've built that you're proud of?
Experience with NIFI specifically with developing custom processors and workflows
Experience managing NOSQL databases such HBASE , Casandra, MongoDB

Create a Resume in Minutes

15 Data Platform Engineer resume templates

Read our complete resume writing guides

Semantics Data Platform Engineer Resume Examples & Samples

Candidates must possess a strong understanding of semantic knowledge base modeling techniques including knowledge store technologies; RDF/OWL based Ontology modeling, SPARQL query engines, & conceptual data modeling concepts
Candidates must also fully understand software development life cycle principles, practice, and disciplines
Candidates should also have strong knowledge of ETL concepts, data integration, big data, and data migration
Able to multi-task and work in a dynamic, fast-pace environment
Experience with database internals, transactions, query processing and optimization is a huge plus
Ability to work with Python (our server-side language of choice) is desired but is not a must
Strong understanding of relational, NoSQL, and graph databases is highly desired
Experience of writing compilers and parsers

Big Data Platform Engineer Resume Examples & Samples

Expert in Hadoop, Storm, Kafka, Elasticsearch or similar open source project
Previous experience with Java, Python, or Ruby
Bachelor's degree in data management, computer science, or related field preferred
Six or more years of experience in data management or computer programming
Experience working with programming concepts
Experience working with company database and statistical software
Strong communication skills to interact with team members, clients, and support personnel
Good analytical and problem solving skills for selecting data tools and resolve issues

EEA Junior Data Platform Engineer Resume Examples & Samples

Design and drive the implementation of data platform functional and non-functional requirements
Be an owner of the implemented functionality: from design and implementation to production troubleshooting
Work closely together with the design team members and also other teams in the organization (integration and verification team, product documentation)
Mentor/coach junior design team members during day to day work
Be responsible for the quality of the technical solution
Drive innovation by coming up with new ideas related to our product/our processes
B.S. in Computer Science or Engineering or a related field; MS preferred
Strong programming skills in Java SE
Power Linux/Unix user skills (good command of shell scripting )
Familiarity with the Hadoop ecosystem is an advantage
Strong ad pragmatic problem solving skills
Communication and cooperation skills

Junior Big Data Platform Engineer Resume Examples & Samples

Ensure conceptual and architectural integrity of the platform
Play active role in Communities of Practice
Attend conferences / meetups
Understanding of Entity Resolution and Record Linkage
Ability to work in a dynamic and flexible environment

Big Data Platform Engineer Resume Examples & Samples

Participate in collaborative software and system design and development of the new platform
Explore and evaluate new ideas and technologies
Experience in working with un-structured or semi-structured data
Experience with Hadoop Ecosystem like Oozie, Hive, Avro, Parquet etc
Experience in building self-contained applications using Docker, Vagrant. Chef

Senior Big Data Platform Engineer Resume Examples & Samples

Work on large-scale, multi-tier big data engagements
Be a mentor and role model to less experienced developers
Ability to work in a dynamic and flexible environment with the ability to influence

Senior Big Data Platform Engineer Resume Examples & Samples

Understand the challenges of building and managing large scale systems
Understand the challenges of working across data centres
Understand which technologies work in a multi-tenant environment and which do not
Deploy and test out new technologies like Kylin, Apex and NiFi
Lead with a positive attitude and by example
Linux administration (RHEL/CentOS 7 preferred)

Senior Big Data Platform Engineer Resume Examples & Samples

Responsible for one large project at all times
Build analytical applications using Hadoop eco system
Build applications using MapReduce/Java, Spark/Scala
Build web services using Java tech stack
Work on performance optimizations on Hbase and Solr
Work on performance optimization on Java MapReduce jobs
Work on Performance optimization on Spark Jobs
Debug complex production scenarios
Build complex data pipelines
A Bachelor¹s degree in Computer Science, Management Information Systems or related field, or equivalent work experience
Experience building and managing complex products and solutions
Experience developing Restful web services in any Java framework
Experience building data pipelines
Experience working in Linux/Unix environment
Expert level programming in Java

Principal Data Platform Engineer Resume Examples & Samples

50% Data Platform Strategy and Execution
Design and build across the comprehensive component set of the Cargill Data Platform supporting a Platform as a Service model that enables Big Data, Data Management, Analytics and Reporting
Design and build future state ingestion, storage, access and analytics frameworks and capabilities to meet the needs of Cargill
Deliver coaching on data management and analytics techniques and technologies which add in open-source and in-house developed software platforms that will ensure automated and continuous testing, integration, and deployment of software and infrastructure across multiple cloud providers as well as internal datacenters
Design and build complex enterprise solutions that solve business problems using technology
Lead the development of a developer focused environment that allows for a natural delivery method to fit multiple developer personas (i.e. Java/.Net)
Assist in driving a software delivery model that supports the current multi-location, multi-continent, multi-cultural operating framework of Cargill
Lead and participate in continual analysis and planning to ensure Global IT toolsets and technologies are relevant, reliable and cost effective
15% Business Relationship Management and Consulting
Work with ScrumMasters, Product Owners, Development Leads and QA Leads in CI/CD, Source Code Management, Containerized solutions and cloud technologies, especially with respect to Data Management and Advanced Analytics
Regularly interface with architects, analysts, process designers, and BU/Function subject matter experts to understand and evaluate data and analytics capabilities and/or functional capability requirements
Partner with Businesses to determine functional requirements and translate into platform specific design (including ingestion and storage patterns)
15% Architecture Definition Methodology and Implementation
Agile Training/Tools: Responsible for working as part of a matrixed team to define and provide hands-on training for all critical software delivery tools and processes as well as the supporting tools that teams will use. You will also be expected to provide input for which toolset will best support our operating needs
Assess and help drive adoption of new technologies and methods within the team and across Cargill
Build prototype to prove out concepts
10% Coaching and Collaboration
Coach and mentor development teams on usage and adoption of our Continuous Delivery toolsets and overall infrastructure as code and automation best-practices in the context of the Cargill Data Platform
Work closely with application teams looking to shift to a more iterative delivery model and ensure that their full-stack is fully automated, tested, and successfully packaged into production releases
Build and coach on technical capabilities to enable faster innovation, accelerate time-to-market for all of our consumer experiences, and deliver industry leading developer experiences
Work closely with our application teams to ensure all capabilities align with actual application delivery needs and pain points
Mentor Architects and Engineers on Cargill teams
10% Run Operations
Collaborate with Ops and Architecture organizations to maintain awareness on the health of overall Data Platform
Bachelor’s Degree in IT or Business Related field or equivalent work experience
15 years of IT and business/industry work experience and at least 5+ years influencing senior level management and key stakeholders
Experience with Hadoop and YARN based architectures
Experience with infrastructure automation, infrastructure as code, automated application deployment, monitoring/telemetry, logging, reporting/dashboarding
Experience in building high-performance infrastructures that are scalable and resilient
Experience with container technologies, e.g. Docker, etc
Experience with test-driven development frameworks for application and infrastructure code
Ability to articulate complex architectures in a concise way
Ability to create clear and detailed technical diagrams and documentation
Experience with cloud-based infrastructure as a service platforms, e.g.AWS, Google Compute Engine, Azure or OpenStack
Experience with programming and scripting languages, primarily Javascript, .Net and Ruby
Experience with configuration management and automation tools such as: Chef, Puppet, Salt and Ansible
Experience with development using Github, TSVS and TFS
Experience with Windows and Linux systems administration
Experience with the Agile mindset
Ability to travel up to 20% including international
Bachelor’s or Master’s Degree in technical or business discipline
Experience with business case development
Knowledge of all components of enterprise architecture

Data Platform Engineer Resume Examples & Samples

Engineering and integrating Hadoop modules such as YARN & MapReduce, and related Apache projects such as Hive, Hbase, Pig
Develop fast prototype solutions by integrating various open source components
Building efficient data platform for structured and unstructured data
Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink, Storm and Kafka
Utilizing programming languages like Java, Spark, Python with an emphasis in tuning, optimization and best practices for application developers
Developing data solutions on cloud deployments such as AWS
1+ years experience with Linux/Unix experience including basic commands, shell scripting and solution engineering
1+ years Hadoop administration experience
Experience with various tools and frameworks that enable capabilities within the data ecosystem (Hadoop, Kafka, NIFI, Hive, YARN, HBase, NoSQL)
Experience with solving problems and delivering high quality results in a fast paced environment
Experience managing NOSQL databases such HBASE , Casandra, MongoDB
Expertise in coding in Python, Hive, R, Spark, Java with emphasis on tuning / optimization

Master Data Platform Engineer Resume Examples & Samples

Create and enhance analytic platforms & tools that enable state of the art, next generation Big Data capabilities to analytic users and applications
Engineering and integrating Hadoop modules such as YARN & MapReduce, and related Apache projects such as Hive, HBase, Pig
Code and integrate open source solutions into the data analytic ecosystem
Operationalization of open source data analytic tools for enterprise use
Be part of teams delivering all data projects including migration to new data technologies for unstructured, streaming and high volume data
Provide solutions for data engineers such as NIFI processors and workflows
Developing data management and governance tools on an open source framework
Hands on experience leading delivery through Agile methodologies
Promote a risk-aware culture, ensure efficient and effective risk and compliance management practices by adhering to require standards and processes
8+ years’ work experience
3+ years Linux/Unix including basic commands, shell scripting and solution engineering
2+ years Hadoop administration
2+ years’ experience with various tools and frameworks that enable capabilities within the data ecosystem (Hadoop, Kafka, NIFI, Hive, YARN, HBase, NoSQL)
Experience developing software solutions to build out capabilities on a Big Data and other Enterprise Data Platforms
Experience with NIFI specifically with developing custom processors and workflows

Lead Data Platform Engineer Resume Examples & Samples

Hadoop administration including building, supporting, performance tuning and monitoring clusters in an enterprise production environment
Manage NoSQL databases like HBase, Cassandra and MongoDB
Operationalization of open source data analytic tools such as Spark, Python and R for enterprise use
Experience developing data solutions on AWS

Data Platform Engineer Resume Examples & Samples

Develop high quality high performance distributed systems in Java, Python, C/C++
Develop upon and integrate with other services within the Facebook application and development stacks
Work closely with other teams to understand and mitigate issues and improve performance
Work closely with Facebook operations teams to help develop and optimize solutions
B.S. degree in Computer Science or a related technical field
2+ years experience programming with Java, C/C++, Python or similar programming language
2+ years experience with distributed databases or distributed systems
2+ years experience with Unix/Linux systems

Big Data Platform Engineer Resume Examples & Samples

Provides advice and guidance to Functional Leads, Senior developers, and other IS functions
Partner with Solution Architects and consult with external vendors to define and enforce data warehouse and BI standards
Create and review technical design documentation to ensure the accurate development of solutions
Define data dependencies between source systems and target outcomes (source, data lake, BI reporting etc.)
Partners with appropriate business analysts, project sponsors, and EDAA leadership to translate business requirements into systems solutions
Enforce standards connected to the maintaining of the Big Data Platform and ecosystem tools and services, and review compliance to the agreed standards across the team
Guide and mentor the wider team members through technical solution deliverables
Demonstrate advanced knowledge of company source data and ability to self-educate when new business functionality presents itself
Provide technical thought leadership, compare and contrast different technologies to meet business requirements and cost control drivers
Work with Business and IT groups to design and deliver a data integration and workflow framework that provides for the loading of data, data integration, quality management, aggregation, joins etc. and distribution to various systems using advanced Big data technologies
Impact assessment of changes to the platform due to key projects
Own and be accountable for producing quality deliverables and technical assurance/governance of the Big data solutions and services to ensure architecture scalability, extendibility, performance and bug free code
Work with key members of various IS teams to identify and resolve application issues, system enhancements, and design for new user requirements
Technical advisor, Development Manager/Technical Leader to ensure development and automated testing of solutions as per architecture and design
Produce & maintain the overall solution design for the entire Big Data Platform
Drive the execution of data strategy, design and architecture of solutions on the platform
Proactively seek and assess new use cases, evaluate and recommend 3rd party products (e.g. archiving, encryption, NoSQL databases) which helps fill gaps within the service offering and map to the use cases
Enforce technical best practices for Big Data management and solutions, from software selection through to technical architectures and implementation processes
Document and publish best practices, guidelines, and training information
Work with Business consumers and BI development teams to enable data services on the Big Data Platform for integrating partner technologies like Teradata, Oracle, SQL server, Power BI, SAS, and R etc
Own the management of technical environments, version control tools and processes, automation of build/deployment processes, release management, quality control of solutions
Go-to person for technical guidance, help and expertise to consumer questions on technologies and services on the platform like Hive, Pig, Power BI, SAS, R etc
Ensures all functional solutions and components of the Big data service offerings, as a whole are designed and implemented in such a way that they always meet SLAs
Contributes to the continuous improvement of the support & delivery functions by maintaining awareness of technology developments and making appropriate recommendations to enhance application services
Bachelor’s degree in Computer Science, Software or Electronic Engineering or other related discipline
Strong and demonstrable people management experience managing cross functional teams with proven experience of creating an environment that supports and inspires people to develop and deliver
Very articulate with excellent written and spoken communication skills negotiating effectively and winning over audiences with compelling and persuasive presentations
Capable of articulating complex designs, code and applications for large scale projects to a simple to understand non-technical client-facing standard
A track record of making complex business decisions with authority, even in times of ambiguity, considering the potential long term risks and implications
Proponent for innovation, best practices, sound design with data & information optimization in mind, strong development habits and efficient team/project structures
Passion for technology & understanding how things work
Ability to work occasional weekends and varied schedule. (e.g. during go-live)
Have a strong development background with deep knowledge of large scale enterprise business systems, MPP, distributed computing systems and business intelligence
A very strong SQL background and experience but capable of thinking in terms of networks rather than tables
Demonstrable evidence of in-depth functional and technical knowledge in
Hadoop(Hortonworks), Yarn, Map Reduce,Tez, Spark
Databases (DB2, Oracle, Oracle RAC, MS SQL, MySQL etc.)
CPU and I/O concepts, Distributed File Systems, cluster and parallel compute architectures, In Memory, Distributed Data Grid, cloud computing
Enterprise Application and information integration
Data Dictionaries, Data Management tools and methodologies
In-depth knowledge or experience of
MPP appliances (Teradata, Exadata, PDW, etc)
Inspiring, motivating and positive attitude who does not hesitate taking up any challenge
Has a positive mind-set who demonstrates a can-do-attitude rather than exhibiting known issues or other blockers as possible disrupting agents in meeting delivery and quality targets

Senior Data Platform Engineer Resume Examples & Samples

75% -Data Engineering
Support the design, build, test and maintaining of Cargill’s Big Data and Advanced Analytics platform
Design, build and test API’s that will enable simple use of complex datasets
Data Modeling that is performance and reusable
Develop interactive dashboards, reports, and perform analysis
Execute strategies that inform data design and architecture in partnership with enterprise-wide standard
10% - Business Partnering, Relationship Management and Consulting
Regularly interfaces with architects, analysts, process designers, and BU/Function subject matter experts to understand and evaluate business requirements
Works with business to determine functional requirements and then translate those into platform specific design (including ingestion and storage patterns)
10% - Governance and Project Consulting
Demonstrates subject matter proficiency in the design, implementation and deployment of new software version, infrastructure, and processes for a large portfolio of services, spanning a significant subset of the organization
Utilizing substantial knowledge of data practices and procedures, conducts quality assurance evaluations on new and existing technology
Provides expertise while collaborating with other partner IT teams, internal and external to Cargill
5% - Run Operations
Collaborate with AMS and Architecture organizations to maintain awareness on the health of overall Data Platform and monitor scorecard metrics
Provide support in the transition of big data solutions from the build organization to the operations organization
10 + years experience in Information Technology field
7 + years developing software applications including: analysis, design, coding, testing, deploying and supporting of applications
2 + years experience with end-to-end software development processes and practices (agile/scrum experience preferred)
Proficient in application/software architecture (Definition, Business Process Modeling, etc)
Understanding of Big Data technology; current on new ideas and tools
Good understanding of the Hadoop ecosystem and low level constructs
Broad understanding of object-oriented and functional programming paradigms
Experience in *nix environment (e.g., ssh and standard commands)
Demonstrated collaboration skills, able to engage in interactive discussions with technical and business-oriented teams
Experienced with at least one scripting language (e.g., bash/python)
BS degree in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining
Experience developing complex MapReduce programs against structured and unstructured data
Experience with loading data to Hive and writing software accessing Hive data
Experience loading external data to Hadoop environments using tools like MapReduce, Sqoop, and Flume
Experience using scripting languages like Pig to manipulate data
Experience interfacing with data-science products and creating tools for easier deployment of data-science tools
Experience in extending open-source Hadoop components
Experience with Scala and/or Spark. Technical Skills Experience with Front End BI tools (Tableau, PowerBI, Business Objects)

Data Platform Engineer Resume Examples & Samples

Confidence in the ability to write highly concurrent programs in Java
A demonstrated ability to learn new technologies quickly
Deep passion for building great software

Senior Big Data Platform 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 build and maintain the data infrastructure, tooling, and upkeep of the platform
You will perform Administration, Performance Tuning & Capacity Planning on Large Scale Clusters (Hadoop/Kafka)
You will be involved in prototyping, architecting, and implementing/updating the data infrastructure platform
You are involved in usage/performance forecasting/modeling and monitoring
You will conduct peer reviews and code walk-throughs for infrastructure code
You are a self-starter and can 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 the job. Preferred language familiarity: Java (primary) with Python, Ruby, Scala, or Go (secondary)
Database skills; You understand use cases for relational and non-relational data, you’ve implemented code against several different database platforms. Bonus: maybe you’ve even been a DBA in a past life
Systems administration; You’re a hardened Linux systems administrator. You have opinions on what a production ready system is. Managing and diagnosing issues on mission critical systems comes second nature. Excellent shell scripting skills are expected
Strong familiarity with scalable web service architecture patterns and frameworks
Automation; Managing infrastructure as code is the only solution in your book. You have hands on experience writing code for some of the major configuration management systems (Puppet/Chef/Ansible/etc.)
Experience with Hadoop, Elasticsearch, Cassandra, Kafka, Mesos, Spark, Splunk, Zookeeper, Puppet, Docker is preferred
Understanding of code promotion, CI/CD best practices, Platform as a Service Architecture, and Distributed systems orchestration
Understanding of schedulers, workload management, availability, scalability, load balancing
Application clustering / load balancing concepts and technologies
Experience working in an agile team environment
Committed to Open Source Projects. Please provide Github links if appropriate
Conduct code walk-throughs, peer reviews, and produce technical documentation

Big Data Platform Engineer Resume Examples & Samples

Ownership and accountability of the management and administration of the Big Data Platform
Manage and own operating system upgrades and executing information and platform security on the Big data platform
Plan, Manage and perform HDP upgrades, connected ecosystem product upgrade as per roadmap; ensure alignment between British Gas’s requirements and the new versions made available in open source technology partner communities
Ownership and accountability of designing and implementing proactive capacity management, with responsibility for creating and managing estimation, recharge and prediction models, ensuring the provision of new Data nodes to expand the Big data infrastructure proactively
Ownership of enterprise grade build, configuration, administration and management of the Development and Production instances of the Big data platforms and technologies implemented in British Gas
Manage and administer British Gas Big Data service & infrastructure offerings acting as the liaison between the IT Enterprise, Solution architecture, development communities, Operations and the IT infrastructure groups across British Gas business units
Ensures all components of the Big data service as a whole (and Hadoop with all ecosystem components in particular) is running normally and to SLA’s
Troubleshoot cluster & ecosystem product issues as a priority with expertise & lead through to resolution
Produce and manage advance workload characterization, benchmarks and metrics
Become the first level go-to person for technical guidance, expertise support to consumer questions on operating services on the platform
Background in IT infrastructure, large scale enterprise business systems & distributed systems preferable
Hands on experience working within a Linux/Unix environment
Advantageous to have experience with running components in Hadoop ecosystem (Hive, Pig, Ambari, Oozie, Sqoop, Zookeeper, Mahout, Hadoop HDFS, YARN and MapReduce)
Experience in building and managing NoSQL Database like HBase or Cassandra
Knowledge of security models for Big data platforms (Kerberos, Knox etc)
Distributed File Systems, cluster and parallel computer architectures
Hadoop distributions (preferably Hortonworks), Map Reduce & Yarn o Databases (Oracle, Oracle RAC, MS SQL, MySQL etc)
In Memory, Distributed Data Grid, cloud computing
High availability and contingency solutions, workload management
Multiple technologies including Java, C/C++, Unix Platforms and large scale implementations of programming theories/concepts with proven results

Senior Data Platform Engineer Resume Examples & Samples

Experience working in an agile environment with rapid iterations of small amounts of functionality delivered frequently
Extensive experience in building, ideally distributed, services in Scala or Python
Experience modelling and querying data in a Lucene based search solution (ideally ElasticSearch)
Experience building data ingest pipelines using Apache Kafka
Extensive experience with at least one NoSQL/NewSQL database (Kudu, Cassandra, Redis, Riak, Couchbase etc.) at reasonably large scales
A B.S. degree in Computer Science or an equivilent field
Experience with Akka, ideally in Scala
Writing, debugging and performance tuning Spark applications. Experience with Spark Streaming, Spark SQL and DataFrames using Parquet as an underlying store
Experience in building statistical models using R
Implementing machine learning models (in any framework). Implementing them on Spark MLLib
Working experience with Jenkins including the Pipeline plugin
Experience using at least one of Ansible, Chef, Salt or Puppet
Working experience with Docker containers
Working experience with Zookeeper is a plus
Experience with Zoomdata, Tableau or other visualization tools is a strong plus
A M.S. or PhD in Computer Science or an equivilent field

Data Platform Engineer Resume Examples & Samples

Java , Web, Spring (MVC/DAO/ORM/web services/Security/AOP), JAXB, JPA, log4j, Hibernate, AOP, Maven, Struts 2, , AJAX, CSS, JavaScript (especially jQuery),SOAP, REST (especially Jersey)
Good judgement around design decisions. Must know when to hardcode values, when to read them from property files or database configuration. Must know when to use a class function, separate service, stand alone POJO etc
Expertise of UNIX system concepts, especially process management and securityExcellent awareness of benefits and issues distributing automation across the network, especially with HTTPsComfortable with internal database concepts and ability to write and tune advanced SQL
Very strong technical communication, written and spoken
Entrepreneurial innovation attractive. Can you see where inventive effort would save the business cost or risk?
5-10 years experience of java and web development
Track record of implementing SDLC with regimented release procedures for business critical systems

Big Data Platform Engineer Resume Examples & Samples

2 years of experience building and managing complex products/solutions
Proven track record of Administering / Engineering Distributed Solutions dealing with real high volume of data
Understanding of virtual machine technologies, physical machines, networking and storage systems
Demonstrates Awareness of multiple infrastructure disciplines
2 + years of experience with distributed, highly-scalable, multi-node environments
Familiarity with Big Data Technologies (Solr, Hive, HBase, Spark, Kafka, Yarn ,Storm, Splunk), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop
Familiarity in Dev/Ops (Puppet, Chef, Python)
Awareness of web technologies and protocols (JAVA/NoSQL/JSON/REST/JMS)
Excellent written/oral communication skills - You speak and write English fluently

Senior Data Platform Engineer Resume Examples & Samples

Engineering and integrating Hadoop modules such as YARN & MapReduce, and related open source projects such as Hive, HBase, Pig into the data analytic ecosystem
Industry experience in Financial Services or other regulated industries
3+ years’ work experience
2+ years Linux/Unix including basic commands, shell scripting and solution engineering
0 – 1 years Hadoop administration
0 – 1 years’ experience with various tools and frameworks that enable capabilities within the data ecosystem (Hadoop, Kafka, NIFI, Hive, YARN, HBase, NoSQL
Experience working with automated build and continuous integration systems (Chef, Jenkins, Docker)

Big Data Platform Engineer Resume Examples & Samples

Leverage deep middleware and big data technology expertise to deliver new products and solutions and ensure that all areas in the organization that provision, manage and support the middleware technologies have the tools, processes and documentation they require to effectively execute their roles
Implement/design Big Data Services on Public Cloud and leverage various managed services (Azure, AWS…)
Execute strategy as it relates to the introduction of new products, tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure
5+ years of in depth experience with middleware and big data technologies including: Hadoop, Spark, Kafka, Mesos,/Yarn, JBoss, Hbase, HDFS etc… along with its upstream/downstream interaction points across multiple platform domains and technology areas
Experience in Data platforms such as: NoSql, distributed/in-memory caching (MongoDB, Cassandra…)
Experience in cloud environments and engineering middleware and big data platforms for cloud environments (Kafka
Strong understanding of operating platform stacks including Redhat Linux, Windows, OpenStack
Experience in developing strategies, roadmaps and designs for large-scale organizations. Enabling the enterprise the ability for rapid growth and scalable solutions that do not require extensive manual intervention
In depth knowledge of scripting tools and configuration management software (Python, Powershell, Perl, Saltstack, etc..) to enable extensive automation of our products and technologies for provisioning and management of the systems
Experience in the development and enabling PaaS\IaaS capabilities in the context of big data or middleware products and servies
Utilize subject matter expertise to introduce new disruptive technologies, or new versions of existing technologies, into the organization
Ability to review, analyze and develop the tools and processes required by the organization to efficiently manage, support and provision engineered platforms
Design highly available platforms that meet strict Security and compliance policies required by our bank systems
Proven ability to collaborate across a large organization to effectively realize outcomes
Proven ability to leverage deep subject matter expertise to develop and deploy a vision and align others to that vision. Known for providing creative thought leadership while also listening and engaging others to provide input in the shaping of that vision
Adapts to new, different or changing requirements , quickly grasps new concepts, adapts and reflects on lessons learned – comfortable with ambiguity, analyzes and evaluates, defines problem/challenge, identifies alternatives and makes timely decisions
Exhibits comfort and maintains composure with audiences at all levels, tailors communication style and delivery to different audiences, uses effective listening skills to gain clarification from others
Uses knowledge of formal and informal policies and organizational interconnections to effectively navigate boundaries
Strong influence and persuasion skills – gets people to change position or course of action through conversations and debate
Work collaboratively across the ITS leadership team to gain support, resourcing, and drive results

Big Data Platform Engineer Resume Examples & Samples

Manage and own the system upgrade and platform security on the Big data platform
Plan, Manage and perform platform upgrades, connected ecosystem product upgrade as per roadmap; ensure alignment the new versions made available in open source and technology partner communities
Ownership and accountability of designing and implementing proactive capacity management
Ownership of build, configuration, administration and management of Big data platforms and technologies
Troubleshoot cluster & ecosystem product issues as a priority with expertise & lead through to resolution working to SLA’s as defined within the Operational environment
Troubleshoot network and infrastructure issues with expertise & lead through to resolution working to SLA’s as defined within the Operational environment
Define and build lightweight (low-overhead) monitoring system characteristics, in real time, and tools for correlating and analysing those statistics for the Big Data infrastructure to ensure good health of the infrastructure
Instil a service mind-set and apply a strong focus on business continuity, Troubleshooting to ensure a good service
First level go-to person for technical guidance, expertise support to consumer questions on operating services on the platform
Serve as second level support to Big data operations for infrastructure and component services
Work with engineering support on upgrades of the cluster participating in the installation, configuration and administration of multi-node Big data platforms
Implementing new services to agreed SLA’s and ensuring transition to support or standardise services to Global services
Experience Required

Data Platform Engineer Resume Examples & Samples

MS or PhD in subjects ranging from computer science, electrical engineering, mathematics, operations research, astrophysics, to cognitive neuroscience
Strong skills in statistics, machine learning, and/or deep learning
Exceptional coding and design skills in Python, Java/Scala (additionally C++ & R is a plus)
Experience with different flavors of SQL & modeling relational tables
Love to work autonomously and take ownership of projects
Are naturally curious and get excited to dig in and understand how things work

Senior Associate Data Platform Engineer Resume Examples & Samples

Accountable for designing and delivering against New York Life’s data technology strategy
Work with a team of engineers and developers to deliver against the overall technology data strategy
Collaborate with peers across Enterprise Data Management, to deliver on the overarching strategy
5+ years in a variety of technology – especially Linux, Web, Databases and Big Data (Hadoop)
Knowledge of Hadoop, NoSQL DBS (eg – MongoDB, MarkLogic, etc) and insights on when to recommend a particular solution
Understanding of Unix/Linux (building/assembling packages, shell scripts, configuration management and OS tuning)
Hands on experience with Hadoop technologies (YARN, Hive, MR, Tez, Spark, etc.)
Understanding of Networking (tracing, packet capture, etc.)

Senior Data Platform Engineer Resume Examples & Samples

Drive knowledge management practices for key enterprise data platforms and collaborate within solution design and delivery
Develop framework, metrics and reporting to ensure progress can be measured, evaluated and continually improved
Deep expertise in data related tools including latest data solutions (eg – Big Data, Cloud, In Memory Analytics, etc.)
Hands-on experience with Hadoop, NoSQL DBS (eg – MongoDB, MarkLogic, etc) and insights on when to recommend a particular solution
Strong understanding of Hadoop technologies (YARN, Hive, MR, Tez, Spark, etc.)
Experience with enabling Kerberos and best practices for securing data a plus
Experience working with Vendors/Open Source in the Hadoop ecosystem
Experience with version control and continuous integration (Git, Bamboo, Jenkins)

Associate Data Platform Engineer Resume Examples & Samples

Ensure enterprise data platforms are standardized, optimized, available, reliable, consistent, accessible and secure to support business and technology needs
Stay current and informed on emerging technologies and new techniques to refine and improve overall delivery
3+ years in a variety of technology – especially Linux, Web, Databases and Big Data (Hadoop)
Familiarity in data related tools including latest data solutions (eg – Big Data, Cloud, In Memory Analytics, etc.)
Experience in standing up enterprise systems
Familiar with Unix/Linux (building/assembling packages, shell scripts, configuration management and OS tuning)
Understanding of Hadoop technologies (YARN, Hive, MR, Tez, Spark, etc.)
Knowledge of the open source community (opening issues, tracking issues and identifying problematic issues ahead of time by tracking open JIRA issues in the community)

Lead Data Platform Engineer Resume Examples & Samples

8+ years core Java experience: building business logic layers and back-end systems for high-volume data pipeline backend applications
Current experience developing microservices
Current experience using Java development, SQL Database systems, and Apache products (Tomcat, Spark, Hadoop, Cassandra)
Current experience using Scala development
Current experience high-speed messaging frameworks and streaming (Kafka, akka, reactive)
Current experience developing and deploying applications to public cloud (AWS)
Experience with DevOps tools (GitHub, Jira) and methodologies (Agile, Scrum, Kanban, Test Driven Development)
Refactor early and often to continuously improve code quality
Excellent analytical/troubleshooting skills
BS in Computer Science, Engineering, or related technical discipline or equivalent combination of training and experience

AD, Big Data Platform Engineer Resume Examples & Samples

Perform configuration, patching, upgrades of the Cloudera environments and associated tools
Own and resolve any opportunities or issues related to the operations of the platform across multiple tenants
Create detailed designs and POCs to enable new workloads and technical capabilities on the Platform. Work with the platform and infrastructure engineers to implement these capabilities in production
Create full visibility into the health and utilization of the platform through use of real-time dashboards, alerts and other mechanisms
Manage workloads and enable workload optimization including managing resource allocation and scheduling across multiple tenants to fulfill SLAs
Provide Level-3 support and coordinate support from relevant vendors
Coordinate activities with Cloud Infrastructure and other enabling IT teams
Ensure platform SLAs are met
Reports KPI and Metrics
Participate in planning activities
Participate in Data Science CoP and perform activities to increase platform skills
Minimum of 3-5 years working in a Big Data service delivery (or equivalent) roles focusing on the following disciplines
Platform/IT engineering and/or deployment
Solution architecture
Big Data Analytics / Business Intelligence / Data Warehousing
Minimum of 5-10 years of combined hands-on experience with the following techniques and tools
Big Data (Hadoop ecosystems/distributions e.g. Cloudera/HortonWorks/EMR)
Data integration (ETL/ELT)
Solid security expertise, in particular with Kerberos and Active Directory
Hands on experience with managing solutions deployed in the Cloud, preferably on AWS
Cloudera Engineer Certification is a plus
Experience working in a Global company and an on-shore/off-shore operating model
Experience working in a DevOps model is a plus
Understanding of IT Processes and Frameworks such as ITIL and SDLC
Capability for being thoughtful, extroverted and collaborative