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About the role
Experience: 7+ years Location: Bangalore Skills Required: Databricks, PySpark & Python, SQL, AWS Services Project Overview & Role Scope We are seeking highly skilled Data Engineers with strong experience in Databricks, PySpark, Python, SQL, and AWS to join our data engineering team Key Responsibilities Design, build, and maintain scalable data pipelines using Databricks and PySpark. Develop and optimize complex SQL queries for data extraction, transformation, and analysis. Implement data integration solutions across AWS services (S3, Glue, Lambda, Redshift, EMR, etc.). Collaborate with analytics, data science, and business teams to deliver clean, reliable datasets. Ensure data quality, performance, and reliability across workflows. Participate in code reviews, architecture discussions, and performance optimization. Support migration and modernization of legacy systems to cloud-based solutions. Key Skills Hands-on experience with Databricks, PySpark & Python for ETL/ELT pipelines. Proficiency in SQL (performance tuning, complex joins, CTEs, window functions). Strong understanding of AWS services (S3, Glue, Lambda, Redshift, CloudWatch, etc.). Experience with data modeling, schema design, and performance optimization. Familiarity with CI/CD pipelines, Git, and workflow orchestration (Airflow preferred). Excellent problem-solving and communication skills.
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