ETL Developer

  • Jersey City, NJ
  • Posted 2 days ago | Updated 2 days ago

Overview

On Site
50 - 60
Full Time
No Travel Required
Unable to Provide Sponsorship

Skills

Extract, Transform, Load
Amazon Web Services
PySpark

Job Details

Avanciers are seeking an experienced ETL Developer with deep expertise in AWS Glue, PySpark, and Lambda, and proven hands-on experience in the banking or financial services domain. The ideal candidate will design, develop, and maintain scalable ETL pipelines within a secure AWS environment to ensure high-quality, performant, and cost-efficient data flows.

Key Responsibilities

  • Design and develop scalable ETL pipelines using AWS Glue and Lambda for data integration and transformation.

  • Integrate data from APIs, databases, and flat files into AWS-based platforms.

  • Implement complex transformation logic using PySpark, Python, or SQL within AWS Glue or Lambda.

  • Orchestrate and monitor workflows using AWS Step Functions, Glue Workflows, or Apache Airflow (Amazon MWAA).

  • Ensure data quality, consistency, and lineage via AWS Glue Data Catalog and Lake Formation.

  • Optimize performance and cost through partitioning, parallelism, and resource tuning.

  • Document data flows and ETL architecture using tools like Confluence or AWS Architecture Diagrams.

Required Skills

  • ETL Development – 5+ years

  • AWS Glue & AWS Lambda – Expert level

  • PySpark & Python – Strong proficiency

  • AWS Step Functions / Airflow (MWAA) – Workflow orchestration experience

  • Banking/Fintech Domain Knowledge – Mandatory

Good to Have

  • Experience with AWS Lake Formation, Glue Data Catalog, or Athena

  • Familiarity with data governance and metadata management

  • Strong communication and documentation skills

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.