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About Position:
We are seeking a skilled Azure Databricks Engineer with 6–8 years of experience in Python and PySpark to join our data engineering team. This role focuses on building and optimizing scalable data pipelines and ETL workflows using Azure Databricks and modern data technologies. The ideal candidate will work closely with cross-functional teams to design and deliver high-performance, reliable, and data-driven solutions, while ensuring data quality, efficiency, and scalability within the Azure ecosystem.
What You'll Do:
Expertise You'll Bring:
Benefits:
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
Let's unleash your full potential at Persistent - persistent.com/careers
Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.
Job ID: 148677235
Skills:
Spark SQL, Automation Frameworks, Distributed Systems, Data Modeling, Pyspark, Apache Spark, Big Data, Azure Databricks, Scheduling Tools, Sql, Git, Python, ETL ELT, Databricks Notebooks, CI CD, Job Orchestration, Data Skewing, Delta Lake, Liquid Clustering, Databricks Genie
Skills:
Power Bi, Pyspark, Tableau, Azure Databricks, Sql, Azure Synapse, Azure Data Factory, Docker, Rest Apis, ADLS Gen2, Azure Key Vault, Unity Catalog, Databricks Workflows
Skills:
snowflake , Ml, Java, Linux, Spark, Kafka, Databricks, Azure, Python, Sql, Ai
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