Data Engineering Lead

Exavalu Solutions India•Jersey City, NJ

About The Position

Exavalu is seeking a Lead AWS Data Engineer to drive data engineering architecture, pipeline development, and technical delivery using AWS native services, Python, and PySpark. The role focuses on building scalable data products, modernizing enterprise data platforms, and providing technical leadership to data engineering teams. The position is in the Newark, New Jersey area. The company promotes flexibility to adapt to employee, customer, and business needs, including the possibility of part-time work, work outside normal 9-to-5 business hours, or remote work. Exavalu also offers a welcome back program for individuals returning to the mainstream after a prolonged absence due to health or family reasons. The company describes its commitment to building a diverse and inclusive workforce and welcomes qualified applicants regardless of protected status.

Requirements

  • Strong experience in AWS Data Engineering, S3, Glue, and EMR.
  • Proficiency in Python, PySpark, SQL, and ETL/ELT.
  • Expertise in data pipeline design, optimization, and enterprise data integration.
  • Experience in technical leadership, code reviews, and team mentoring.

Nice To Haves

  • Experience with Amazon Redshift, Athena, and DynamoDB.
  • Knowledge of Apache Iceberg and data lake/lakehouse architecture.
  • Experience with domain-oriented data products and authoritative data sources.
  • Exposure to large-scale enterprise data modernization.

Responsibilities

  • Lead the design and development of scalable data pipelines using AWS Glue, EMR, S3, Python, and PySpark.
  • Drive enterprise data integration, ETL/ELT workflows, and data product development.
  • Define engineering standards and conduct design and code reviews.
  • Optimize pipeline performance, data quality, and processing scalability.
  • Guide and mentor Data Engineers while collaborating with architecture, technology, and business teams.

Benefits

  • Flexible work arrangements, potentially including part-time work, work outside normal 9-to-5 business hours, or remote work.
  • Welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons.
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