Key Responsibilities
- Lead the design and implementation of data ingestion, transformation and processing solutions using AWS native services including S3, Glue, EMR, Redshift and Athena.
- Define appropriate engineering patterns for batch and large-scale data processing using Python and PySpark.
- Guide implementation of modern lake/lakehouse patterns, including S3 and Apache Iceberg, where applicable.
- Provide technical direction across design, development, testing, deployment and production support.
- Conduct design and code reviews for Python/PySpark and AWS data-engineering components.
- Establish development standards, reusable patterns and engineering best practices.
- Ensure appropriate data validation and reconciliation are incorporated into pipelines.
- Troubleshoot performance and scalability issues across data pipelines and processing workloads.
- Provide day-to-day technical guidance to Data Engineers.
- Break functional/data requirements into engineering tasks and coordinate delivery.
- Communicate technical risks, dependencies and design decisions to stakeholders.
- Mentor engineers and build the team's AWS/Python/PySpark engineering capability.
AWS Lead Data Engineer (Newark) in newark at Unknown Company
This position is listed as full time and onsite.