Data Engineer Informatica

Overview

As a Senior Engineer in the India office, support and develop client data platforms with a focus on metadata management and data governance using enterprise tools such as Informatica Intelligent Data Management Cloud (IDMC).

What you'll do

• Run and support IDMC day to day, including Secure Agent management, connectivity, access control (asset groups, roles, SSO/SCIM provisioning), and environment promotion.
• Configure and troubleshoot metadata scans across cloud data warehouses, databases, CRM platforms, APIs and reporting tools, and resolve scan and profiling failures at scale.
• Build and maintain data quality rules, scorecards, business glossaries and data classifications, and keep them consistent across sources.
• Map end-to-end data flow across the enterprise so that data pipelines are visible and trusted.
• Use IDMC REST APIs, Python and bulk import/export to automate glossary loads, catalog clean-up, and governance workflows.
• Design, build, and maintain scalable and robust data pipelines using SQL and Python.
• Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
• Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
• Provide guidance and mentorship to junior data engineers, ensuring high-quality project deliverables.
• Develop and enforce best practices in data governance, security, and compliance within the organisation.
• Optimise data retrieval and develop dashboards and reports for business teams.
• Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.

What you'll need

• Hands-on experience with Informatica IDMC in production (CDGC, Metadata Command Center or Data Quality), including platform administration, metadata scanning and lineage.
• Experience designing, building, and maintaining scalable and robust data pipelines using SQL and Python.
• Experience leading the integration of complex data systems and ensuring consistency and accuracy of data across multiple platforms.
• Ability to work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
• Ability to provide guidance and mentorship to junior data engineers, ensuring high-quality project deliverables.
• Experience developing and enforcing best practices in data governance, security, and compliance within the organisation.
• Strong experience with a cloud platform (AWS, GCP, or Azure).
• Awareness of concepts like containerization (Docker).
• Strong verbal and written communication skills, with the ability to work effectively in a team environment and support the growth of more junior members.

Nice to have

• A Master's degree or PhD in a relevant field.
• Experience optimising data retrieval and developing dashboards and reports for business teams.
• Experience continuously evaluating new technologies and tools to enhance the capabilities of the data engineering function.
• Hands-on experience building and supporting solutions on one or more of Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow or PySpark.
• Informatica certification (IDMC, CDGC or Data Quality) or experience with other catalogs such as Collibra, Purview or Alation.

Details

• Location: Pune, Maharashtra, India.