Job Summary We are looking for a skilled ETL Developer (Python) with strong hands-on experience in Databricks, PySpark, and Azure Data Factory (ADF) . The ideal candidate will be responsible for translating existing Informatica mappings into PySpark-based implementations , ensuring high-quality and timely data pipeline delivery. Roles & Responsibilities Design, develop, and maintain ETL pipelines using Python and PySpark Understand and analyze existing Informatica mapping logic Rewrite and migrate Informatica logic into PySpark workflows Develop and optimize data processing solutions on Databricks Work with Azure Data Factory (ADF) for orchestration and scheduling Perform SQL development for data extraction, transformation, and validation Deliver development tasks independently and within timelines Collaborate closely with technical teams to ensure smooth delivery Ensure code quality, performance, and scalability of data pipelines Job Requirements 3+ years of experience in the IT industry 3+ years of experience as an ETL Developer Strong hands-on experience with Databricks and Python (Mandatory) Experience with Azure Data Factory (ADF) Proficiency in SQL and database development Hands-on experience with PySpark Exposure to Apache Spark, Hadoop is a plus Ability to work independently and efficiently to meet deadlines Strong problem-solving skills and attention to detail Good communication and teamwork skills Nice to Have Experience in ETL migration projects (Informatica to PySpark) Familiarity with cloud-based data platforms Performance tuning and optimization experience
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