Databricks, Data Engineer

Databricks & Spark: Hands-on experience with Databricks, Apache Spark, and PySpark for big data processing. Cloud Platforms: Proficiency in Azure (preferred), AWS, or GCP for data engineering workflows SQL & Data Modeling: Strong knowledge of SQL, schema design, and dimensional data modeling. ETL/ELT Tools: Experience with tools like Azure Data Factory, Informatica, or Talend. Data Warehousing: Familiarity with technologies such as Azure Synapse, Snowflake, or BigQuery. Strong problem-solving and debugging skills. Excellent communication and teamwork abilities. Ability to work in a fast-paced, dynamic environment.

Good-to-Have Knowledge of Event Hub, IoT Hub, and streaming analytics. Exposure to Power BI, Azure DevOps, and CI/CD pipelines. Understanding of machine learning libraries (MLlib) and predictive analytics.

Please share your details on rupali.deole@tcs.com

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Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)

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Total IT Experience-6- 8

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