13 days old

Senior Data Engineer - Walmart

Hoboken, New Jersey

The Data Engineering team at Jet is looking for a talented Data Engineer with an outstanding track record.

Specifically, Data Engineers will

  • Work with business stakeholders to understand the business requirements and the data available to solve the corresponding problems
  • Work with very large data sets and build large scale data processing platforms, implement data governance and operational controls, solve complex performance challenges and build robust ETL pipelines
  • Gather and process raw data at scale from different business domains, build real time data ingestion pipeline into a data lake in Hadoop/Google Cloud/other cloud solutions
  • Influence teams to improve data infrastructure in a product work-oriented environment.
  • Build automated deployments of databases and machine learning models
  • Implement controls, processes and best practices in data engineering
  • Build tools and automation to facilitate and collect metrics for data and operational governance, data lineage, data quality and monitoring.
  • Be proactive and take ownership of the projects and tasks assigned
  • Provide and support the implementation of business solutions
  • Collaborate with other data scientists and data engineers in our team
  • Lead small and participate in large project teams
  • Coach junior members and share knowledge with the broader team
  • Continue to widen and deepen data engineering and data analytics skillsets
  • Live by our Company culture and values

Requirements

Bachelor of Science and 2 years' data science experience OR Master of Science and 1 years' data science experience.

  • 2+ years of relevant industry experience
  • Experience in engineering scalable data platforms using technologies including Spark (batch/streaming), Hadoop, Hive, HBase, Kafka, Airflow.
  • Experience in building data output streams and API’s using Java and Kafka
  • Development experience with Python, Java
  • Solid hands-on experience in building data pipelines, deploying and managing Big Data infrastructure, working with large structured and unstructured datasets
  • Experience in Relational databases, Data Warehousing, SQL, ETL and/or NOSQL databases.
  • Strong verbal and written communication skills

Company Summary

Additional Preferred Qualifications

Over fifty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world's biggest retailer. Since those founding days, one thing has remained consistent helping our customers save money so they can live better. When you join our Walmart family of brands (Sam's Club, Jet.com, Hayneedle, Modcloth, Moosejaw, Bonobos and many more!), you'll play a crucial role in shaping the future of retail, improving millions of lives around the world. Our associates have championed causes like U.S. job expansion, responsible global sourcing, female entrepreneur empowerment, and much, much more, establishing Walmart as a leader in sustainability, corporate philanthropy and employment opportunity. What could you accomplish with Walmart?

Position Summary

The Data Engineering team at Jet is looking for a talented Data Engineer with an outstanding track record.

Specifically, Data Engineers will

  • Work with business stakeholders to understand the business requirements and the data available to solve the corresponding problems
  • Work with very large data sets and build large scale data processing platforms, implement data governance and operational controls, solve complex performance challenges and build robust ETL pipelines
  • Gather and process raw data at scale from different business domains, build real time data ingestion pipeline into a data lake in Hadoop/Google Cloud/other cloud solutions
  • Influence teams to improve data infrastructure in a product work-oriented environment.
  • Build automated deployments of databases and machine learning models
  • Implement controls, processes and best practices in data engineering
  • Build tools and automation to facilitate and collect metrics for data and operational governance, data lineage, data quality and monitoring.
  • Be proactive and take ownership of the projects and tasks assigned
  • Provide and support the implementation of business solutions
  • Collaborate with other data scientists and data engineers in our team
  • Lead small and participate in large project teams
  • Coach junior members and share knowledge with the broader team
  • Continue to widen and deepen data engineering and data analytics skillsets
  • Live by our Company culture and values

Categories

Posted: 2020-03-26 Expires: 2020-05-26

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