Data Engineer – Informatica (ID:3398)

As a Senior Data Engineer – Informatica, you will:

• Design, develop, test, and maintain data integration solutions using Informatica within complex data environments.
• Build, enhance, and support Data Warehouse and Data Lake platforms for enterprise analytics and reporting.
• Develop and optimize data pipelines handling large-scale structured and semi-structured data.
• Collaborate with cross-functional teams to deliver reliable and scalable data solutions.
• Participate in the continuous improvement of data architecture, performance, and data quality.

What You Bring to the Table:

• 5–7 years of overall experience in data engineering, data integration, or ETL development.
• Strong hands‑on experience with Informatica for data extraction, transformation, and loading.
• Proven experience working with Data Warehouses and Data Lakes.
• Solid understanding of data modeling, ETL frameworks, and data processing concepts.
• Exposure to Python and Apache Spark is a strong advantage.
• Experience working in complex, enterprise‑scale data environments.

You Should Possess the Ability to:

• Design and implement end‑to‑end data solutions aligned with business requirements.
• Build efficient, scalable, and high‑performance ETL pipelines.
• Analyze data flows and troubleshoot performance or data quality issues.
• Translate business and analytical needs into robust technical data solutions.
• Adapt quickly to evolving data technologies and platforms.

What We Bring to the Table:

• Exposure to modern Data Warehouse and Data Lake architectures.
• Opportunity to work on enterprise‑level data integration initiatives.
• A collaborative and engineering‑driven work environment.
• Scope to enhance skills in Python and Spark‑based data processing.
• Long‑term growth within the data engineering and analytics domain.

Let’s Connect

Want to discuss this opportunity in more detail? Feel free to reach out.