Vacancy Description
Job Description 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 ETLPipelines: 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, funct...
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 ETLPipelines: 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, funct...
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