Required Skills

4+ years of experience as a Data Engineer or ETL Developer.

Solid hands-on experience with PySpark, Apache Spark, Spark SQL, and Python.

Expertise in Databricks and/or Snowflake.

Strong understanding of ETL design, data transformation, and data integration.

Experience with Data Lakes, Data Warehouses, and Big Data technologies.

Knowledge of distributed computing, parallel processing, and data partitioning concepts.

Strong SQL skills with experience in performance tuning and query optimization.

Experience working with batch and streaming data processing.

Excellent analytical, debugging, and problem-solving skills.

Strong verbal and written communication skills.

Preferred Skills

Experience with cloud platforms such as AWS or Azure.





Knowledge of Hadoop ecosystem and contemporary data engineering technologies.

Experience with API integration and data ingestion from multiple data sources.

Familiarity with CI/CD pipelines and Agile development methodologies.

Exposure to enterprise-scale data engineering projects.

Why Join Us?

Opportunity to work on cutting-edge Big Data and Cloud Data Engineering projects.

Exposure to modern technologies including PySpark, Databricks, Snowflake, and distributed computing.

Collaborative work environment with strong learning, innovation, and career growth opportunities.

📌 Databricks Pyspark ETL Developer_Bangalore/Remote (Bengaluru)
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