Data ETL Developer

Job Description: - Design, develop, and maintain ETL/ELT data pipelines for large-scale data processing. - Develop and optimize data workflows using Informatica. - Work extensively with Hadoop ecosystem technologies for distributed data processing. - Develop data transformation and processing jobs using Apache Spark / PySpark. - Build and maintain data pipelines and data models on Snowflake. - Perform data extraction, transformation, cleansing, validation, and loading. - Work with structured and unstructured data from multiple sources. - Optimize SQL queries, Spark jobs, ETL workflows, and Snowflake processes for performance. - Monitor data pipelines and troubleshoot data quality, performance, and production issues. - Collaborate with Data Architects, Business Analysts, Developers, and other stakeholders. - Ensure data accuracy, consistency, security, and reliability across data platforms. - Participate in data migration and modernization initiatives where required.