ETL Lead - DataStage CP4D | AWS Glue

IntraEdge, Inc.
Detroit, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Detroit, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Big Data
Cloud Computing
Code Review
Continuous Integration
Data Governance
ETL
Data Transformation
Data Warehousing
IBM InfoSphere DataStage
Python
Meta-Data Management
Performance Tuning
Scrum
Standard Sql
User-Centered Design
Delivery Pipeline
Snowflake
Parallel Computation
AWS Lambda
GIT
PySpark
Semi-structured Data
Data Lineage
Collibra
Amazon Web Services (AWS)
Data Analytics
Software Version Control
Serverless Computing
Jenkins

Job description

We are seeking a highly experienced ETL Lead to design, lead, and optimize enterprise data integration workflows using IBM DataStage on Cloud Pak for Data (CP4D), AWS Glue & Lambda, and Snowflake. The ideal candidate will drive modern data transformation strategies for large-scale data ingestion pipelines supporting analytics, governance, and AI/ML workloads., * Lead the end-to-end design and implementation of ETL workflows for structured and semi-structured data from various sources (SFTP, DB2, Oracle, APIs).

  • Architect and maintain data ingestion and transformation pipelines using IBM DataStage (CP4D) and AWS Glue/Lambda functions.
  • Optimize data load performance and manage large data volumes with effective partitioning, incremental loads, and error handling.
  • Collaborate with cloud engineers and data modelers to ensure data is curated for consumption in Snowflake (Silver/Gold/Platinum layers).
  • Ensure data lineage, metadata management, and data quality in compliance with enterprise data governance standards.
  • Partner with governance teams to ensure integration with Collibra, or other metadata and privacy tools.
  • Support CI/CD integration, parameterization, and version control of ETL code via Git and DevOps pipelines.
  • Lead and mentor a team of onshore/offshore ETL developers; establish best practices and code review processes.
  • Troubleshoot production ETL issues and participate in on-call rotations as needed.

Requirements

  • 8+ years of enterprise data integration experience with at least 3+ years as a technical lead.
  • Strong expertise in IBM DataStage, including modern deployments on Cloud Pak for Data (CP4D).
  • Solid experience with AWS Glue (PySpark) and AWS Lambda for scalable, serverless data transformation.
  • Proven knowledge of Snowflake data warehousing, including external stages, streams, tasks, and performance tuning.
  • Experience with complex ETL orchestration involving parallel processing, dynamic parameterization, and error handling.
  • Strong SQL, Python (preferred for Glue), and performance tuning skills.
  • Understanding of data lakehouse architectures, S3, and ingestion patterns (batch/real-time).
  • Familiarity with data governance and lineage tools (e.g., Collibra, BigID, Manta).
  • Knowledge of CI/CD, Git, Jenkins, and code promotion strategies.
  • Strong verbal and written communication skills; experience working in agile/scrum delivery model.

Preferred Qualifications

  • IBM DataStage CP4D certification
  • AWS Certified Data Analytics or Solutions Architect - Associate
  • Snowflake SnowPro certification
  • Experience working in regulated industries (e.g., financial services, utilities, healthcare)

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