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Customer Job

AWS/IDMC Data Engineer

Job ID: 25-11364
AWS/IDMC (Informatica Intelligent Data Management Cloud) Data Engineer


Duties and Responsibilities:
  • Responsible for designing, developing, and implementing data integration processes using Informatica IDMC.
  • Responsible for collaborating with business Analyst, Data Architect to understand business requirements for data integration and transformation requirements.
  • Responsible for design, develop and test application interfaces using various application connectors like Sales Force and AWS.
  • Responsible for Data validation, process tuning and automation of interface / data transfer processes.
  • Monitor, troubleshoot, and optimize data integration workflows to ensure high performance and reliability.
  • Evaluate the existing landscape and underlying data layers to provide architectural recommendations to meet business requirements.
Experience: AWS
  • 3–5 years of experience in data engineering.
  • 3 years minimum AWS experience required
  • Strong experience with distributed data processing (Spark, AWS Glue, EMR, or equivalent).
  • Hands-on expertise with data modeling, ETL pipelines, and performance optimization.
  • Strong hands-on expertise in building and optimizing ETL pipelines into Amazon Redshift

Experience: Informatica
  • 5-6 years of experience in data engineering
  • 2 years minimum Informatica Cloud required
  • Hands-on experience with Informatica Intelligent Cloud Services (IDMC), including Data Integration and Application Integration.
  • Strong understanding of data integration concepts, ETL/ELT processes, and data mapping.
  • Strong background in Data Integration design, develop and implement complex solutions using Informatica is required.
  • Strong practical knowledge of traditional and agile SDLC methodologies required.
  • Strong problem-solving skills and the ability to troubleshoot data-related issues.
  • Excellent communication and collaboration skills to work effectively in a team environment.
  • AWS Certification will be a plus

Preferred Skills:
  • Understanding of containerization (Docker, Kubernetes) and cloud-native services (AWS preferred).
  • Knowledge of scripting languages (e.g. pyspark,shell).
  • Knowledge of DevOps practices and CI/CD pipelines for data integration workflows.
  • Familiarity with data governance and data quality.

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