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.

📌 Data ETL Developer (Mumbai)
🏢 Acme Services Private
📍 Mumbai