Data Platform Engineer Resume Sample

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Sheldon Crona
782 Olson Crossroad,  New York,  NY
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Work Experience


Senior Data Platform Engineer
12/2017 - PRESENT
Chicago, IL
  • Support the design, build, test and maintaining of Cargill’s Big Data and Advanced Analytics platform
  • Experience of architecting distributed solutions dealing with high volumes of data
  • Develop smart solutions to ingest high-data volumes around the clock
  • Provide a high-availability data platform service to the whole of King
  • Engineer tools to automate data platform administration
  • With your DA Core teammates, own and deliver against our operational SLA
  • Own one of many projects to expand the capacity and performance of our stack
  • Help design and develop our non-production environment (NPE) infrastructure
Data Platform Engineer
07/2013 - 09/2017
Los Angeles, CA
  • Experience of architecting distributed solutions handling high volumes of data
  • Related information technology experience
  • Strong experience directly related to Big Data technologies
  • Industry recognized certifications (simiar to below)
  • Develop and implement dimensional data models to optimally deliver on the needs of business stakeholders
  • Design, develop, and maintain ETL required to populate dimensional data models
EEA Junior Data Platform Engineer
09/2008 - 06/2013
Philadelphia, PA
  • Investigate and migrate ETL processes to Cloud-based platforms
  • Good knowledge of at least one UNIX/Linux scripting language
  • Have developed ETL processes to load and process large datasets
  • Comfortable writing and tuning SQL queries
  • Have worked with large datasets
  • Previous experience of big data systems - including tech like Hadoop, Hive, Spark/Spark SQL, Impala, Presto and Flink
  • Knowledge of other data-related tech - eg Kafka, Mondrian and Kylin, and/or streaming data frameworks like Storm and Spark Streaming
  • Have experience with in-memory/column-oriented analytics databases - eg, EXASOL, Vertica, SAP HANA and VoltDB
  • Knowledge of other programming languages, like Java

Education


Westfield State University
2004 - 2008
Engineer's Degree in Computer Science

Professional Skills


  • Hive and or Impala, demonstrated skills in database / data modelling or are experienced with Hive, Impala, Kafka (or similar technologies)
  • Have excellent communication (both verbal and written), planning, organizational and time-management skills
  • Excellent communication skills, both written and verbal in conveying technical design and approach for delivering technical solution
  • Strong communication, collaboration and mentoring skills
  • Excellent team player skills with willingness to learn and implement Big data technologies
  • Very articulate with excellent written and spoken communication skills
  • Applied experience and skills with message or event based platforms: Tibco, IBM MQ, or Kafka, etc

How to write Data Platform Engineer Resume

Data Platform Engineer role is responsible for database, translation, design, security, training, integration, java, coding, architecture, reporting.
To write great resume for data platform engineer job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Data Platform Engineer Resume

The section contact information is important in your data platform engineer resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:

  • First and last name
  • Email
  • Telephone number

Work Experience in Your Data Platform Engineer Resume

The section work experience is an essential part of your data platform engineer resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous data platform engineer responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular data platform engineer position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Data Platform Engineer resume experience can include:

  • Develop and recommending novel and innovative -- yet proven and demonstrated -- approaches to solving business and technical problem
  • Develop and recommending novel and innovative -- yet proven and demonstrated -- approaches to solving business and technical problems
  • Proven experience of delivering Big Data applications
  • Experience in designing, building and managing an Hadoop deployment to process large amounts of data
  • 1-2 yrs experience in managing Hadoop or any other distributed computing platforms/clusters with hundreds of servers
  • Experience in Java development, including the Spring Framework (Boot, Web, etc.)

Education on a Data Platform Engineer Resume

Make sure to make education a priority on your data platform engineer resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data platform engineer experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school

These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Data Platform Engineer Resume

When listing skills on your data platform engineer resume, remember always to be honest about your level of ability. Include the Skills section after experience.

Present the most important skills in your resume, there's a list of typical data platform engineer skills:

  • Applied experience and skills with API Development: WS, RESTful, or SOAP/WSDL, etc
  • Applied experience and skills with cloud-based infrastructure as a service platforms: AWS, Google Compute Engine, Azure or Open Stack
  • Excellent IT, communication, leadership and management skills
  • Solid experience administering, scaling or supporting enterprise applications in a hands on capacity
  • Solid understanding and experience working with AWS components (EC2, Auto-scaling, S3, SQS etc.)
  • Strong experience building complex ETL pipelines with dependency management utilizing File Watchers, APIs, etc

List of Typical Experience For a Data Platform Engineer Resume

1

Experience For Big Data Platform Engineer Resume

  • Big Data "Platform" Engineer years demonstrated proficiency in some combination of the below (does not require all but are in order of priority)
  • Experience working with Hadoop Cluster Engineering and Administration
  • Experience developing with modern JDK (v1.7+), Spring
  • Proven use of open source frameworks including Junit and other testing frameworks such as Cucumber or SonarCube
  • Experience in building self-contained applications using Docker, Vagrant, Puppet, Chef
  • Experience working with data, data warehousing & BI
2

Experience For Senior Data Platform Engineer Resume

  • Experience in configuring and development in messaging system, Kafka
  • Experience working in cloud-based environment (AWS, Azure, Google)
  • Experience working with ETL tools & IDE (SAP Data Services, Informatica, Talend, Pentaho, Eclipse, Datagrip)
  • Be able to work with minimal direction and handle several competing priorities simultaneously
  • 3+yrs experience working in Technology – Infrastructure Services
  • 4+ yrs experience in Hadoop Cluster Engineering and Administration
  • Contribute to the open source community and maintain excellent knowledge of the technical landscape for data tooling
3

Experience For AD, Big Data Platform Engineer Resume

  • Strog systems engineering experience (6+ years)
  • Strong fluency with programming languages (Scala, Java, C#, Python)
  • Strong scripting ability in Python or Perl
  • Experience in software instrumentation for monitoring and observability
  • Experience with advanced statistical and data mining techniques
4

Experience For Principal Data Platform Engineer Resume

  • Experience with some of the key technologies we are building on: Spark, Kafka, Sqoop, Hive, Presto, Parquet, MySQL, Cassandra, etc
  • Experience with scripting, Python, Java, R
  • Experience in Kafka or Storm and Spark Streaming
  • Participate in continual analysis and planning to ensure Global IT toolsets and technologies are relevant, reliable and cost effective
  • Experience with at least one Functional Programming language
5

Experience For Senior Big Data Platform Engineer Resume

  • Experience with MPP data warehouse platforms (Redshift, Netezza, Teradata, Greenplum)
  • Big Data (2+ years): Experience with Hadoop, Spark, Kafka, Cassandra, Mesos/YARN
  • Experience in Containerisation technologies like Docker, kubernetes
  • Professional programming experience in Java or JVM-based languages such as Scala
  • Experience with analytics technologies like NumPy, PySpark, R, or Matlab
  • Strong knowledge of source code repository like SVN/GIT & build tools like Maven
  • Proven use of open source frameworks
6

Experience For Master Data Platform Engineer Resume

  • A strong team player with the ability to quickly triage and troubleshoot complex problems
  • Extensive experience with deployment of Big Data Applications to Amazon AWS Cloud
  • A level of hands-on experience working with Kafka, Storm, Spark, Solr, Zookeeper, NiFi, HBase, HDFS, HIVE, YARN, Ranger, Knox, Ambari and Kerberos
  • Experience leveraging DevOps techniques
  • At least one demonstrated instance of successful engineering of new big data technology that generated measurable business value
  • Strong Knowledge of the Apache Big Data Stack, in particular
  • Experience with various tools and frameworks that enable capabilities within the data ecosystem (Hadoop, Kafka, NIFI, Hive, YARN, HBase, NoSQL)
7

Experience For Lead Data Platform Engineer Resume

  • Experience of Kafka, NiFi
  • Excellent exposure to Business Intelligence and analytics toolsets
  • Strong familiarity with Linux environment
  • Experience with Big Data technologies such as Spark, Kafka and/or Hadoop
  • Strong Java and/or Scala knowledge
  • Extensive experience with Big Data
  • Data platform development experience
  • Experience with MPP data warehouse platforms (Redshift, Netezza, Teradata, and Greenplum)
  • Experience with semantic data tools such as RDF store, SPARQL endpoint
8

Experience For Senior Associate Data Platform Engineer Resume

  • Identify, define & deploy requirements to build & operate on AWS
  • IT experience
  • Experience with automation tools such as Chef or Ansible,
  • Experience with MySQL, Postgres, Elastic Search, Docker, or Mesos,
  • Overall IT experience in an enterprise cloud environment
  • Experience in Metadata Hub (Ab Initio) or Data Quality (Informatica) or Collibra
  • Experience with Docker, Mesos, Kubernetes, or ECS
  • Experience with automation tools, such as Ansible and Chef
  • Experience with containers and resource managers
9

Experience For Associate Data Platform Engineer Resume

  • Experience with database and other persistence storage administration (e.g. Postgres, Elasticsearch, Cassandra, Redis, S3, HDFS)
  • Experience on Hortonworks Hadoop Distrbution
  • Experience in Hadoop upgrades on Hortonworks
  • Development experience in NOSQL databases such as HBASE or Cassandra
  • Data platform development experience
  • Strong background in relational databases
  • Implementation experience on a major cloud platform
10

Experience For EEA Junior Data Platform Engineer Resume

  • One or more years of experience with Big Data technologies such as Spark, Kafka and/or Hadoop
  • Development experience with at least one NoSQL database (Cassandra and/or Datomic)
  • Experience with Superset data platform
  • Development experience with at least one NoSQL database
  • Relational databases, ER models/diagrams and Demonstrated use of data and BI tools
  • Pursue digital data quality, troubleshoot data validation, and see issues to resolution
  • Exhibit strong ownership of all aspects of assigned projects, tasks, issues, and code
  • Experienced in ETL process such as setting up data points, data ingestion, data manipulation and data transformation
  • Experienced in Python, Java and Azure or AWS Cloud (extracting data from S3 buckets etc.)

List of Typical Skills For a Data Platform Engineer Resume

1

Skills For Big Data Platform Engineer Resume

  • Good written and verbal communication skills to engage with others, primarily Data Science
  • Strong programming experience with languages such as Python, PHP, Javascript, Bash or Powershell
  • Experience with administration & build experience of big data technologies such as Hadoop, Spark, or EMR
  • Experience with administration and build experience of big data technologies such as Hadoop, Spark, or EMR
  • Demonstrated ability to handle multiple priorities and ability to work collaboratively across functions
2

Skills For Senior Data Platform Engineer Resume

  • Working experience with containers, CI/CD tools and best practices
  • Experience of working in a fast moving and changing large enterprise IT environment
  • Build data products, identifying trouble spots, and optimizing the overall user experience with a robust data architecture capable of providing insights
  • Experience designing, developing, & deploying services
  • Experience designing, developing, & maintaining your own data flows
  • Experience in designing, deploying, scalable & highly available fault tolerant environments on AWS Cloud using third party & AWS offered technologies
  • Experience in designing , deploying, administrating enterprise class Big Data clusters
  • Experience in designing, deploying, administrating enterprise class Big Data clusters
  • Experience in designing, deploying, and administrating enterprise class big data clusters (e.g. Kafka, NiFi, Storm, Spark, HDFS)
3

Skills For AD, Big Data Platform Engineer Resume

  • Experience designing, building and administering big data lakes/warehouses
  • Experience designing, managing and testing disaster recovery procedures for a variety of data platforms
  • Experience mentoring or acting in a lead capacity
  • Experience in building distributed solutions dealing with high volumes of data
  • Building enterprise grade components with experience working with data delivery or transformation
  • Experience in deploying & managing AWS data services such as EMR, Dynamo DB, Red Shift etc
  • Hands on experience deploying & managing AWS based applications
  • Experience working alongside development teams administering software delivery tools (GIT, Nexus, Docker, Rocket)
4

Skills For Principal Data Platform Engineer Resume

  • Hands on experience deploying & managing AWS platforms and cloud native applications
  • Experience building and operating distributed data systems
  • Experience with at least one OOP and/or Functional programming language including Python
  • Experience building and managing NoSQL Database like HBase
  • Proven use of open source frameworks including Junit and other testing frameworks
  • Experience developing with modern JDK (v1.7+), Spring
5

Skills For Senior Big Data Platform Engineer Resume

  • Experience working on SMACK stack
  • Proven track record of working with technical and non-technical stakeholders
  • Experience meeting compliance requirements for Safe Harbour, HIPAA, HiTRUST, etc
  • Experience working with ETL tools & IDE (SAP Data Services, Informatica, Talend, Pentaho, Eclipse, and Datagrip)
  • Experience using CI / CD tools and project build automation
  • Experience with enabling Data Science and Self Service product development with clean, reliable data sets
  • Experience of working within a multi-cultural, global environment
  • Experience engineering data transformation (ETL) pipelines
  • Experience working on the back end of high-performance data systems
6

Skills For Master Data Platform Engineer Resume

  • Experience in deploying hybrid systems with on-premises & AWS cloud
  • Experience providing enterprise Big Data based system solutions and administration
  • Experience working with enterprise open source technologies (Puppet, Hadoop, Chef, Ansible, SpaceWalk, OpenStack, Nagios, Ganglia)
  • Experience in programming with one of the High Level Language – Python, Java , R etc
  • Experience providing enterprise Linux based system administration
  • Experience working with code repositories and build tools such as Git, GitHub, Nexus, or Jenkins
  • Experience in OO programming
7

Skills For Lead Data Platform Engineer Resume

  • Experience with scripting, Python, Java , R
  • Experience in system administration, DevOps, or software engineering
  • Experience working with code repositories and build tools (e.g. Git, Nexus, Jenkins)
  • Experience in programming with one of the high level languages (e.g. Java, other JVM based languages, Python)
  • Experience programing in Java or another JVM based language
8

Skills For Senior Associate Data Platform Engineer Resume

  • Experience with development using GitHub, TSVS or TFS
  • Strong scripting ability in Bash and Python
  • Experience developing high throughput, data-centric, or high volume applications
  • Bachelors in Computer Science, Mathematics, Electrical Engineering or equivalent work experience
  • A background in Computer Science, Engineering, Mathematics or appropriate industry experience
  • Infrastructure systems engineering experience
  • Experience in building technology roadmaps
  • Demonstrated track record of being a technologist with keen interest in the big data technologies
9

Skills For Associate Data Platform Engineer Resume

  • Experience in working in intense, high-speed agile development lifecycles
  • Experience working with un-structured or semi-structured data (JSON, XML, Avro)
  • Experience developing with modern JDK (v1.7+) or Scala
  • Experience developing high throughput or high volume applications
  • Proven track record of maintaining IT structural integrity
  • Professional programming experience in Java or JVM-based languages such as
10

Skills For EEA Junior Data Platform Engineer Resume

  • Experience developing with modern JDK (v1.7+)
  • Proven use of open source frameworks, insights and reporting tools such as SuperSet, JasperSoft and Spotfire
  • Work experience required
  • Experience with Java, Python and API's (JSON)
  • Experience in Python, Scala, Java, Go, JavaScript

List of Typical Responsibilities For a Data Platform Engineer Resume

1

Responsibilities For Big Data Platform Engineer Resume

  • Be honest and demonstrate integrity
  • Experience with managing security models for Big data platforms (Kerberos, Knox etc.)
  • Demonstrable experience in working in a cloud environment
  • Have in-depth knowledge of and hands on experience with a majority of the following
  • Highly skilled with Python and SQL/MySQL
  • Experience with data technologies such as Spark, Kafka, Hadoop, and distributed datastores
  • Build and operate our cloud based data platform
2

Responsibilities For Senior Data Platform Engineer Resume

  • Have experience with DevOps / Automation tools to help minimize operational overhead for our platform
  • Experience in nix environment (e.g., ssh and standard commands)
  • Experience in Hadoop and Hive
  • Experience in Core Java, Scala, or Python
  • Experience in Hadoop upgrades
3

Responsibilities For AD, Big Data Platform Engineer Resume

  • Experience designing, building and administering Big Data platforms including Spark and Kafka
  • Experience in software and systems instrumentation for monitoring and observability
  • Experience designing services that can scale to millions of requests per second
  • Experience with cloud automation technologies e.g. Chef, Ansible, Terraform etc
  • Experience with AWS internals and their suite of product offerings
  • Experience as an architect for a big data technology project
  • Experience with federated data systems
  • Contributing member of a high performing engineering and administration team over Critical Hadoop Application clusters
  • Implementing new services to agreed SLA’s and ensuring transition to support or standardise services to Global services
4

Responsibilities For Principal Data Platform Engineer Resume

  • Working knowledge of the continuous integration and deployment model and always builds to ease consumption and monitoring of the system
  • Developing the custom database technologies that power New Relic's advanced analytics querying capabilities
  • Improving our deployment and testing automation pipelines to ensure we can continue to move quickly and with confidence
  • Building high availability architectures and deployments primarily using big data technologies
  • Programming languages: Core Java, Scala, Python
  • Programming languages: Core Java, Python
  • Developing our next generation of highly available multi-region data storage
  • Developing internal UIs to manage customer data and perform configuration and maintenance tasks
  • Architecting, designing, and building a robust and scalable big data platform and security compliant user management framework
5

Responsibilities For Senior Big Data Platform Engineer Resume

  • Building ETL, distributed caching, transactional, and messaging services
  • Building a high throughput messaging framework to transport high volume data
  • Developing a framework to deploy Restful web services
  • Apache Spark, proficient knowledge of open-source processing engines, for data processing to execute streaming, machine learning or SQL workloads
  • Knowledge of basic POSIX operating systems such shell scripting, filesystem layout, block device mounting, etc
  • Deal with large volume of data and handling complexities creating cubes for reporting and visualization
  • Design end-to-end engineering solutions for business opportunities using existing on premises or new Cloud based technology platforms
  • Automate the provisioning of environments using tools like Puppet, Chef, or Ansile, and the deployment of those environments using containers like Docker
  • Use familiarity with concepts like data modeling, statistics and machine learning to develop and deploy pipelines to surface analytical products to consumers
6

Responsibilities For Master Data Platform Engineer Resume

  • Support Hadoop environments including fault resolution, performance investigations, patching/upgrades and access management
  • Hadoop processing frameworks/languages/tooling such as Spark, Scala, Python, Sqoop, Oozie
  • A team centric approach to work, based on developing/sharing knowledge and rapid delivery
  • Knowledge of database internals, transactions, clustering, sharding, and replication
  • Business Intelligence: defining metrics, conforming different definitions, and experimentation methodology
  • Partner with Business and developers in ensuring the possibilities afforded by the emergence of Big Data paradigm are well understood
  • Implement distributed queries and build machine learning models on top of this data
7

Responsibilities For Lead Data Platform Engineer Resume

  • Troubleshoot network and infrastructure issues with expertise & lead through to resolution working to SLA’s as defined within the Operational environment
  • Participate in a collaborative, peer review based environment fostering new ideas via corss team guilds / specialty groups
  • Maintain comprehensive documentation around our processes / decision making
  • Assist with implementation of a range of use cases on the Hadoop platform, including product/application integration
  • Advise on best practises for development teams using the Hadoop platform
8

Responsibilities For Senior Associate Data Platform Engineer Resume

  • Working with Hadoop and Big Data technologies, preferably Cloudera CDH
  • Integration of applications with Hadoop using APIs, ETL tools, visualisation tools and data science tools
  • Appreciates the continuous integration and deployment model and always builds to ease consumption and monitoring of the system
  • Familiarity working with un-structured or semi-structured data
  • Develop/enhance Facebook distributed databases and data infrastructure
  • Put the minimal system needed into production
9

Responsibilities For Associate Data Platform Engineer Resume

  • Polyglot development (3 years+): Capable of developing in Java and Scala with good understanding of functional programming, SOLID principles and, concurrency models and modularization
  • Polyglot development (5 years+/expert): Capable of developing in Java and Scala with good understanding functional programming, SOLID principles and, concurrency models and modularization
  • Deploy & manage EMR, Redshift, and Dynamo DB etc. services based applications’ needs on AWS
  • Engage key stakeholders and evangelize Big Data platform both internally and externally leading to adoption within the business & IS in the most effective manner
  • Experience with various tools and frameworks that enable capabilities within the data ecosystem (Hadoop, Kafka, NIFI, Hive, YARN, HBase, NoSQL)
  • Execution of data strategy, help in the design and architecture of solutions on the platform
  • Design and build large scale collectors for large and small data streams
10

Responsibilities For EEA Junior Data Platform Engineer Resume

  • Design and build parsers for both highly structured in XML and large semi-structured data in log files
  • Architect and implement storage solutions which are amenable for the different types of data we collect
  • Integrate with search engines to provide more free form text queries on data models
  • 0 – 1 years’ experience with various tools and frameworks that enable capabilities within the data ecosystem (Hadoop, Kafka, NIFI, Hive, YARN, HBase, NoSQL
  • 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 working to SLA’s as defined within the Operational environment
  • Experience building and managing complex end to end products/solutions with a strong background in IT infrastructure(Cloud Native), large scale enterprise business systems & distributed systems
  • Experience developing solutions in cloud (Azure/AWS)
  • Expert hands on experience working with Linux/Unix environment

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