Senior Informatica Developer - Cloud ETL & Data Pipelines

Ethereum Technologies

Atlanta (GA)

On-site

USD 110,000 - 150,000

Full time

2 days ago
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Job summary

Ethereum Technologies is seeking an experienced Informatica Developer to design, develop, and test enterprise ETL solutions. The role requires hands-on proficiency in Informatica PowerCenter, Oracle SQL, Python, and AWS-based data processing for large-scale pipelines.

You will build and optimize ETL workflows, develop data-processing scripts, and collaborate with business and technology teams in a fast-paced financial services environment.

Qualifications

  • 5+ years of Informatica experience with PowerCenter (CDI PC).
  • Informatica PowerCenter required; IDMC is not a substitute.
  • Strong enterprise ETL and data integration development background.
  • Advanced Oracle and SQL skills; complex query development and debugging.

Responsibilities

  • Develop, enhance, test, implement, and support ETL workflows using Informatica PowerCenter (CDI PC).
  • Analyze complex requirements and translate into technical specs.
  • Develop and optimize Oracle SQL queries for data integration and processing.
  • Create Python scripts and utilities for data processing and automation.
  • Develop Unix/Linux shell scripts supporting ETL and batch processing.
  • Work with AWS services (Lambda, SNS, SQS) and Redshift for cloud data processing.
  • Develop and support Airflow DAGs for data pipeline orchestration and scheduling.
  • Troubleshoot ETL, data pipelines, and production issues; perform root cause analysis.

Skills

Informatica PowerCenter
Python
SQL
Unix/Linux shell scripting
AWS
Apache Airflow
Amazon Redshift
Jenkins / CI-CD

Education

Bachelor's degree in Computer Science / IT / Engineering or related field

Tools

Oracle SQL
CDI PC version

Job description

Ethereum Technologies is seeking an experienced Informatica Developer to design, develop, and test enterprise ETL solutions. The role requires hands-on proficiency in Informatica PowerCenter, Oracle SQL, Python, and AWS-based data processing for large-scale pipelines.

You will build and optimize ETL workflows, develop data-processing scripts, and collaborate with business and technology teams in a fast-paced financial services environment.

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