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Exp level : 15 years+ • Must have : Expert in Databricks , Pyspark , python, SQL • Strong knowledge on data bricks architecture and tools • Have experience of task and wf jobs creations in data bricks • Deep understanding of distributed computing and how to use spark for data processing • SQL and pyspark : strong command over querying databases and proficiency in pyspark • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience • 5+ years of experience in data engineering with Databricks and Spark • Proficient in SQL and Python and Pyspark • Experience with Azure Databricks Medallion Architecture with DLT, Iceberg • Experience with data integration and ETL tools, such as Azure Data Factory, Bigquery, or AWS native • Experience with Azure/AWS/ GCP cloud platform and services • Experience with data warehouse and data lake concepts and architectures • Good to have experience with big data technologies, such as Kafka, Hadoop, Hive, etc • Strong analytical and problem-solving skills
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