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Ab Initio ETL Data Engineer

Merican IncGlen Allen, VA🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationGlen Allen, VA, United States
ScalaApache SparkAWSETLApacheData PipelinePython

Job description

Title: Ab Initio ETL Data Engineer
Location: Richmond, VA (3 Days Hybrid)
Duration: 7 Months with possible extension
Tech Skills:

Data movement and transformation

  • Scrubbing and moving production data into QA environments
  • ETL pipeline development
  • Ab Initio - Must Have

Preferred Skills

  • Spark
  • Scala
  • Python
  • AWS
  • Data processing frameworks
Job Summary
We are seeking an experienced ETL / Data Engineering Developer to design, develop, and maintain data pipelines and ETL processes. The ideal candidate will have hands-on experience with data movement, transformation, data cleansing, and Ab Initio. The role involves preparing production data for QA environments and ensuring data quality, accuracy, and reliability.
Key Responsibilities
  • Develop, maintain, and optimize ETL pipelines for data extraction, transformation, and loading.
  • Manage data movement and transformation across multiple systems and environments.
  • Scrub, cleanse, and prepare production data for use in QA and testing environments.
  • Develop and support data processing workflows using Ab Initio.
  • Ensure data quality, integrity, consistency, and reliability throughout ETL processes.
  • Troubleshoot data pipeline issues and optimize performance.
  • Collaborate with development, QA, and data teams to support data integration and testing requirements.
  • Follow data security, governance, and best practices when handling production data.
Required Skills
  • Hands-on experience in ETL development and data engineering.
  • Strong understanding of data movement, transformation, and data cleansing processes.
  • Experience with Ab Initio and ETL pipeline development.
  • Understanding of data integration, data quality, and processing workflows.
Preferred Skills
  • Experience with Apache Spark and Scala.
  • Programming experience in Python.
  • Familiarity with AWS data services and cloud-based data processing.
  • Knowledge of distributed computing and data processing frameworks.
  • Experience troubleshooting and optimizing large-scale data pipelines.

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