Job Description
AWS Lead Data Engineer
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Location : Newark NJ – Onsite (3 days a week)
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Duration : 12 Month
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F2F interview Must
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Key Responsibilities
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- 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.
- Lead onboarding of data from legacy and enterprise source systems into AWS.
- Drive development of reusable pipelines and engineering components for specific enterprise data domains.
- Support the ADS / Authoritative Data Source approach, where domain data is packaged as trusted data products for enterprise consumption.
- Ensure datasets produced by the engineering team are consumable for downstream analytics and AI use cases.
- 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.
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