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Senior Data Engineer

(3–10 years experience)

We are looking for a skilled Senior Data Engineer to design and implement robust, scalable ETL pipelines and data ingestion frameworks. If you thrive in dynamic environments and love optimizing data workflows, this is your opportunity to make a real impact.

🚨 Must Requirement

Hands-on experience with Informatica as an ETL tool is essential for this role.

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🔍 Key Responsibilities

  • Design and develop scalable ETL pipelines using Informatica DEI BDM

  • Optimize data mappings, workflows, and sessions for performance and cost efficiency

  • Build and maintain data ingestion frameworks for batch and micro-batch processing

  • Implement data validation and cleansing routines to ensure integrity

  • Collaborate with architects to enhance data models and manage data lake partitioning

  • Troubleshoot and resolve production issues under tight deadlines

🧰 Technologies & Tools

  • ETL & Orchestration: Informatica DEI BDM, Apache Airflow

  • Big Data Stack: Cloudera (Spark, Hive, Impala, HDFS)

  • Programming: Python, Bash

  • Data Formats: ORC, Parquet (with schema evolution and compression)

  • Version Control & CI/CD: Git, Jenkins, Nexus

🧠 What You Bring

  • 3–10 years of experience in data engineering or ETL development

  • Solid experience with Informatica and large-scale data processing

  • Strong skills in Python and Bash scripting

  • Ability to collaborate cross-functionally and communicate clearly

  • A proactive mindset and strong analytical problem-solving abilities

  • Experience working under pressure with a focus on reliable delivery

🌟 Why You’ll Love This Role

  • Work on real, high-impact data pipelines

  • Collaborate closely with analysts, architects, and developers

  • Learn and grow in a technically challenging environment

  • Flexible work culture with remote possibilities

  • Opportunity to influence data model design and optimization