Expert Data Architect

2 days ago


Salem, Tamil Nadu, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Description

As a seasoned data engineer, you will play a pivotal role in designing and developing complex ETL solutions using Informatica IDMC.

Key Responsibilities:

  • Design and implement efficient ETL workflows to extract, transform, and load data from various sources.
  • Collaborate with cross-functional teams to define technical requirements and translate them into effective data integration strategies.
  • Develop, document, unit test, and maintain high-quality data pipelines that support both batch and incremental (CDC-based) data processing.
  • Configure and manage mappings, mapping tasks, and taskflows to ensure seamless data flow.
  • Implement robust data transformation logic, including cleansing, enrichment, joins, lookups, aggregations, and handling hierarchical and semi-structured data.
  • Use parameterized mappings and reusable components to build and manage taskflows with conditional logic, error handling, branching, and scheduling mechanisms.
  • Optimize mapping performance through pushdown optimization, partitioning, and data minimization techniques.
  • Provide leadership and guidance to junior developers, conduct code reviews, and ensure adherence to best practices.
  • Troubleshoot and resolve complex data integration issues promptly.
Required Skills and Qualifications

To be successful in this role, you should possess the following skills and qualifications:

  • 5+ years of IT experience in data integration and management roles.
  • 4+ years of hands-on experience with Informatica products.
  • 2+ years specifically working with Informatica IDMC/CDI.
  • Experience in leading large projects and mentoring junior developers.
  • Proficiency with Secure Agents, runtime configuration, parameterization, and environment management.
  • Experience integrating external applications with IDMC via batch, APIs, and message queues.
  • Strong experience with relational databases such as Oracle, SQL Server, or MySQL.
  • Solid understanding of data warehousing concepts (e.g., Kimball, Inmon).
  • Excellent problem-solving skills and ability to handle complex data integration scenarios.
  • Strong verbal and written communication skills.
  • Experience working in Agile/Scrum environments.


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