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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
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