Job type
- Full-time
- Permanent
Job description
Job Title: AWS Informatica Developer
Location: Lafayette, LA
Type: Permanent Full Time
Work Model: Hybrid – onsite and remote
Responsibilities
- Develop, enhance, test, implement, and support ETL workflows using Informatica PowerCenter (CDI PC version).
- Analyze complex business and technical requirements and translate them into technical specifications.
- Develop and optimize complex Oracle SQL queries supporting data integration and processing.
- Develop Python scripts and utilities for data processing, automation, and integration.
- Create and maintain Unix/Linux shell scripts supporting ETL and batch processing.
- Work with AWS, including Lambda, SNS, and SQS, to support cloud-based data processing and integrations.
- Work with Amazon Redshift and Redshift Spectrum for large scale data processing and querying.
- Develop and support Apache Airflow DAGs for data pipeline orchestration and scheduling.
- Troubleshoot ETL, data pipeline, application, and production issues and perform root cause analysis.
- Support CI/CD and automated deployment processes, including Jenkins where applicable.
- Ensure solutions meet established security, quality, compliance, and operational requirements.
- Collaborate effectively with business and technology teams in a fast-paced financial services environment.
Requirements
- 7+ years of Informatica experience, with strong hands-on expertise in Informatica PowerCenter (CDI PC version).
- Informatica PowerCenter experience is required; IDMC should not be considered a substitute for the required PowerCenter experience.
- Strong enterprise ETL and data integration development experience.
- Advanced Oracle and SQL skills, including complex query development and troubleshooting.
- Strong Python scripting/development skills for data processing and automation.
- Strong Unix/Linux shell scripting experience.
- 3+ years of hands-on AWS experience, including Lambda, SNS, and SQS.
- Hands on experience with Apache Airflow, including DAG development and data pipeline orchestration.
- Experience with Amazon Redshift and Redshift Spectrum.
- Strong troubleshooting, analytical, and root cause analysis skills.
- Experience supporting enterprise data pipelines and production environments.
- Ability to work effectively with changing requirements and priorities.
Desired Skillset:
- AutoSys scheduling experience.
- Jenkins and CI/CD experience.
- Additional AWS data services experience.
- Financial services or other regulated industry experience.
Educational Requirements:
Bachelor's degree in computer science, Information Technology, Engineering, or a related technical field.