Data Engineer III

Data Engineer III (Chewy, Inc.; Bellevue, Washington): Own/contribute towards data platform on AWS cloud. Contribute towards the architecture and build/maintain infrastructure using Cloud computing technology. Build and maintain scheduling/workflow orchestration applications. Build containerized applications with microservices architecture. Established continuous integration and continuous deliver pipeline. Performance tuning of data pipelines. Monitor data pipelines for accuracy, missing data, enhancements, changes, and billing volumes to ensure all data is captured and processed accurately and when needed. Reconcile data issues and alerts between various systems, finding opportunities to innovate and drive improvements. Develop and maintain complex data ingestion and transformations for data originating from multiple data sources (structured/unstructured). Design and implement dimension data modeling (Star Schema, Snowflake and

Galaxy) for on-premise and cloud data warehouse infrastructure. Implement the strategy, design, execution, system configuration, and operations of the data platform that help in datadriven decision making. Lead the evaluation, implementation, and deployment of emerging tools and technologies. Work with cross-functional stakeholders in defining and documenting requirements for building high-quality and impactful data products. Create operational reports using visualization/business intelligence tools.

Minimum Requirements: Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 5 years of experience required as a Database Architect or related position/occupation.

Alternate Education and Experience: Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 3 years of experience required as a Database Architect or related position/occupation.

Must have:

· Experience must include 3 years with the following:

o Cloud data platforms like AWS Glue, EMR, S3, SQS, SNS, and Step Functions;

o Knowledge of Snowflake, Redshift, DynamoDB, PostgreSQL, and other data warehouses/databases;

o Airflow for orchestration and automation of data workflows;

o Understanding of data quality, governance, and observability principles;

o CI/CD pipelines and terraform for cloud infrastructure management;

o Knowledge of data platforms such as AWS Data platform, Databricks, Cloudera.

· Experience must also include the following:

o Design, and develop data pipelines using Python, Spark, Spark streaming and Kafka for building large-scale data processing frameworks.

Salary: $178,069 to $207,000 per year