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 support activities.
Ensure adherence to data governance, security, and co...