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Big Data Engineer

4 months ago

Minneapolis, United States Chewy Full time

Our Opportunity:

Chewy is hiring a Big Data Engineer in Boston, MA, Minneapolis, MN or Plantation, FL for our HR System Integrations team. The ideal candidate will have extensive and diverse experience building and maintaining cloud databases, ingesting data using a variety of methods (including non-SQL technologies like SOAP and REST) and working on joining datasets from different cloud-based source systems in a centralized database. The HR System Integrations team’s mission is to enable Chewy's exponential growth through scalable HR system integrations, data engineering and consumable data products. This is an excellent opportunity that offers exposure across our entire HR data ecosystem. If you're passionate about AWS and cloud technology, database engineering, love fast-paced, tiger team cross-functional collaboration, and are excited to empower an exponentially growing organization, apply here

What You’ll Do:

  • Design and implement a scalable data platform including data management and governance, and integrate structured, and unstructured data using cloud-based services.
  • Design and implement solutions on a cloud platform utilizing Infrastructure as code (Terraform).
  • Configure custom data pipelines within AWS/Databricks for ingestion into Data Mart
  • Maintain, support, and develop within the HR Data Mart Snowflake instance, including code build/review, auditing, performance tuning, and security.
  • Create and maintain technical documentation and models for the Data Mart
  • Obsess about data integrity, accuracy, and understanding of complex/evolving HR data relationships.
  • Partnering with our Enterprise People Analytics team, grow our data infrastructure to support stakeholder insight goals.

What You’ll Need:

  • 5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera.
  • 5+ years of experience in building scalable data pipelines from a variety of sources such as APIs, databases, and processing semi-structured and unstructured data.
  • Highly skilled and hands-on team member to design, and develop data pipelines using Python, Spark, Spark streaming and Kafka.
  • Experience working with Infrastructure as Code preferably Terraform.
  • 5+ years' experience with relational databases (Snowflake, Redshift etc.) and SQL
  • Proficient in at least one of the programming languages such as Python/Java/GO.
  • Experience in data integration and building complex ETL pipelines using ETL tools, including Informatica, Datastage, Clover DX, AWS Glue, Knime.
  • Experience with Web Service testing tools such as SoapUI and Postman
  • Understanding of Agile methodology, GitHub and CI/CD pipelines

Bonus (if applicable):

  • AWS solution architect certification a huge plus
  • Experience managing HR data a plus.
  • Strong background working with and maintaining database security and access.

Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

If you have a question regarding your application, please contact HR@chewy.com.

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