Number of Applicants
:000+
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Must -Have Skills
& Qualifications:
• Strong hands -on
experience with Databricks and Apache Spark (PySpark/Scala).
• Experience in SQL and data transformation techniques.
• Knowledge of ETL tools and data pipeline development.
• Experience working with cloud platforms (Azure/AWS/GCP)
• Strong Azure cloud background
• Understanding of data warehousing concepts.
• Strong problem -solving and analytical skills.
• Hands on Experience with Azure Databricks or Delta Lake, in building ETL
pipelines : batch (autoloader) and Spark structured streaming
• Knowledge of data modelling and performance tuning in Spark.
• Exposure to CI/CD pipelines and DevOps practices.
• Familiarity with data governance and security practices.
• Strong hands -on working experience of Unity catalog:
• Hands on exposure to Creating end to end environments : creating catalogs,
schemas, tables . materialized views, functions, volumes
• Experience in building SCD 1 and SCD2 (slowly changing dimensions ) on
dimension tables
• Experience in building CDC (change data capture pipelines)
• Strong hands -on experience with Lakehouse federation , creating foreign
catalogs to get data from external sources
• Strong understanding of Databricks partitioning , Liquid clustering >
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