Responsibilities:

• Design, develop, and maintain ETL/ELT processes using Talend and other data integration tools.
• Build scalable and efficient data pipelines for data ingestion, transformation, and loading.
• Extract data from multiple sources and integrate it into enterprise data warehouses and data lakes.
• Develop data transformation logic and workflows to support business requirements.
• Write and optimize complex SQL queries, stored procedures, and database scripts.
• Utilize Python for data processing, automation, and data engineering tasks.
• Perform data validation, cleansing, and quality checks to ensure data accuracy and consistency.
• Troubleshoot and resolve ETL job failures, performance bottlenecks, and data issues.
• Collaborate with business analysts, data architects, and stakeholders to understand data requirements.
• Participate in code reviews, testing, deployment, and production su...