Job Title: - Azure Databricks with Pyspark
Location: - AIA Kolkata
Experience: - 6 to 9 Years
An Azure Databricks Developer job description typically requires expertise in PySpark, Azure Data Factory (ADF), and Delta Lake architecture
Key Responsibilities
· Pipeline Development: Build and optimize scalable data pipelines and ETL processes using Azure Databricks and PySpark.
· Data Integration: Connect and manage data from Azure Data Lake Storage (ADLS Gen2) and various file formats (Parquet, Delta, JSON, CSV).
· Performance Tuning: Tune Spark SQL queries, optimize cluster configurations, and manage data partitioning strategies.
· CI/CD & Deployment: Implement version control via Git and deploy automated workflows using Azure DevOps or GitHub Actions.
Required Qualifications
· Experience: 4 to 8+ years of total IT experience, with at least 2–3 years of hands-on production experience in Azure Databricks.
· Tech Stack: Advanced proficiency in Python, PySpark, and complex SQL.
· Cloud Knowledge: Strong familiarity with core Azure services including ADF, ADLS Gen2, and Azure SQL.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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