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Persistent Systems
Talend+ Data Engineer Delhi (India)
Persistent Systems
New Delhi•On-site•6-9 Yrs•Jun 25
Job description
Overview
Responsibilities: Design, develop, and maintain ETL/ELT processes using Talend and other data integration tools.
Responsibilities
- Design, develop, and maintain ETL/ELT processes using Talend and other data integration tools.
- Build scalable and effective 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 compliance standards.
- Eligibility
- :6+ years of experience in Data Engineering and ETL Development
- .Robust hands-on experience with Talend Data Integration (DI)
- .Expertise in ETL/ELT concepts and data integration methodologies
- .Solid programming skills in Python
- .Advanced knowledge of SQL and database development
- Design, develop, and maintain ETL/ELT processes using Talend and other data integration tools.
- Build scalable and effective 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 compliance standards.
- Eligibility
- :6+ years of experience in Data Engineering and ETL Development
Qualifications
- .Strong understanding of data warehousing concepts and dimensional modeling
- .Knowledge of data quality, data validation, and performance tuning techniques
- .Strong understanding of data warehousing concepts and dimensional modeling
- .Knowledge of data quality, data validation, and performance tuning techniques