Data Engineer

Work Mode: Hybrid (2 -3 Days a week to London office)

Key Skills: Data Bricks(Spark), SQL , Python & AWS services

We at Coforge are hiring for Data Engineer with the following skillset:

Key Responsibilities

• Develop, maintain, and optimize data pipelines and ETL workflows using Databricks (Spark).
• Should have 3+ years of experience on Databricks projects.
• Write efficient, optimized SQL queries for data extraction, transformation, and validation.
• Develop Python‑based scripts for automation, data processing, and integration tasks.
• Work with AWS Cloud services (S3, Glue, EC2, Lambda, IAM, Athena, EMR) to build scalable data solutions.
• Collaborate with business and technical teams to understand data requirements and translate them into technical specifications.
• Perform data validation, quality checks, and root‑cause analysis for data‑related issues.
• Ensure performance tuning, reliability, and scalability of data pipelines.
• Contribute to design reviews, architecture discussions, and best‑practice implementations.
• Prepare and maintain technical documentation.

Technical Skills

• Strong SQL: Complex queries, performance tuning, stored procedures, indexing.
• Python: Experience with data processing (Pandas, PySpark), scripting, automation.
• Databricks:
• Notebooks
• Job orchestration
• AWS Cloud (working knowledge in at least 3+ services):

Additional Skills (Good to Have)

• Experience in Git, CI/CD pipelines.
• Knowledge of data modeling concepts.
• Exposure to Agile methodologies.
• Experience with job scheduling tools (Airflow, Cron, etc.)

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