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Role at a glance
You will
Design and implement scalable ETL/ELT pipelines.
Develop data ingestion frameworks for multiple source systems.
Build and optimize Spark-based data processing workflows.
Must-have skills
Apache SparkData WarehousingDatabricksELTETLJava
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Job description
Key Responsibilities Design and implement scalable ETL/ELT pipelines. Develop data ingestion frameworks for multiple source systems. Build and optimize Spark-based data processing workflows. Develop batch and near real-time data integration solutions. Support data orchestration and transformation activities. Optimize performance of Databricks jobs and data pipelines. Ensure data quality, lineage, and operational reliability. Support CI/CD and DevOps practices for data solutions. Collaborate with Data Architects and Analysts on solution delivery. Required Skills Azure Databricks Azure Data Factory Azure Synapse Analytics Apache Spark SQL Python / Scala / Java ETL/ELT Frameworks Azure Data Lake (ADLS) Data Warehousing Concepts Performance Tuning and Optimization
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