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Required Skills & Experience:
7+ years of experience in Data Engineering or related fields.
Strong hands-on expertise in Databricks (notebooks, Delta Lake, job orchestration).
Deep knowledge of Apache Spark (PySpark, Spark SQL, optimization techniques).
Strong proficiency in Python for data processing, automation, and framework development.
Strong proficiency in SQL, including complex queries, performance tuning, and analytical functions.
Strong knowledge of Databricks Genie and leveraging it for engineering workflows.
Strong experience with CI/CD and Git-based development workflows.
Proficiency in data modeling and ETL/ELT pipeline design.
Experience with automation frameworks and scheduling tools.
Solid understanding of distributed systems and big data concepts.
Job ID: 148443481
Skills:
Git, Pyspark, Spark, Databricks, Python, Sql
Skills:
Azure Databricks, Cloud Technologies, Pyspark, data processing frameworks
Skills:
Data Warehousing, Informatica, SSIS, Sql, Gcp, Etl Tools, Databricks, Talend, Data Lake, Azure, Python, AWS, Reltio
Skills:
Power Bi, Scala, Pyspark, Apache Spark, Kafka, Azure Databricks, Sql, Python, Azure Data Lake Storage Gen2, Event Hub, Azure Data Factory ADF, CI CD pipelines, Delta Lake, Structured Streaming, Lakehouse architecture, streaming data processing
Skills:
Pyspark, Sql, Databricks, Distributed Systems, Python, Apache Spark, Git, Automation Frameworks, Databricks Genie, Big data architecture, Delta Lake
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