Python with SQL Data Engineer (6 years To 12 years)

Must Have Skills:

• Strong handson experience in Python for data processing and transformation
• Experience with PySpark and distributed data processing frameworks
• Strong proficiency in SQL, including complex joins and aggregations
• Experience in ETL/ELT pipelines and data ingestion frameworks
• Handson experience with Cloud data platforms (Azure / AWS / GCP)
• Knowledge of data warehousing concepts and dimensional modeling
• Experience working with structured and semistructured data

Good to Have Skills:

• Experience with Azure Data Factory / Databricks / Synapse or equivalent
• Exposure to streaming technologies (Kafka, Event Hubs, etc.)
• Experience with CI/CD pipelines for data engineering workflows
• Experience in Agile methodology using JIRA
• Knowledge of BFSI / Investment domain or relevant certifications (e.g., LOMA)

Responsibilities or Expectations from the Role:

• Collaborate with technology, architecture, product, and design teams to deliver scalable data solutions
• Design, develop, and optimize data pipelines using Python and PySpark
• Implement data ingestion, transformation, and validation from multiple sources
• Ensure data quality, performance optimization, and reliability of pipelines
• Demonstrate strong communication skills, ownership mindset, and ability to work in a customerfacing environment