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Big Data Engineer
2 months ago
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 experience building and maintaining cloud databases, ingesting data using various methods, 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 growth through scalable HR system integrations, data engineering, and consumable data products. If you're passionate about AWS, cloud technology, database engineering, and cross-functional collaboration, 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 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
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