Developer – SQL & Talend ETL Specialist
Cognizant · Chennai
Job description
About the role
This position is for an experienced Developer who will design, build, and optimise data integration workflows using SQL and Talend ETL. Working in a hybrid environment on a day‑shift schedule, you will ensure reliable movement and transformation of critical business data to support analytics, reporting, and regulatory requirements.
Key responsibilities
- Design and implement scalable Talend ETL solutions for enterprise reporting and analytics.
- Develop, optimise, and troubleshoot complex SQL queries, stored procedures, and transformation logic.
- Analyse business requirements and source systems to define mapping rules and integration patterns.
- Collaborate with data architects, analysts, and application teams to align ETL solutions with strategic objectives.
- Implement data quality checks, validation routines, and reconciliation processes within Talend workflows.
- Monitor scheduled ETL jobs, identify bottlenecks, and perform root‑cause analysis on failures.
- Document technical designs, data‑flow diagrams, and operational procedures.
- Work with operations to create deployment pipelines, environment promotion practices, and configuration management.
- Coordinate integration testing, system testing, and data validation for new or enhanced ETL solutions.
- Apply secure access patterns to meet data‑privacy and compliance requirements.
- Contribute to continuous‑improvement initiatives by refactoring inefficient jobs and adopting best practices.
Required profile
- Proven experience as a Developer specialising in SQL data integration and Talend ETL.
- Strong analytical skills to translate business requirements into technical solutions.
- Ability to work effectively in a hybrid, collaborative environment.
- Detail‑oriented with a focus on data quality, performance, and maintainability.
Required skills
- SQL (queries, stored procedures, data transformation).
- Talend ETL platform.
- Data integration and ETL workflow design.
- Data quality validation and reconciliation techniques.
- Monitoring and performance tuning of scheduled ETL jobs.
- Technical documentation (design diagrams, operational procedures).
- Deployment pipelines and configuration management.
- Secure data access and compliance best practices.
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Published 1 month ago
Expires 2 weeks from now
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Cognizant
Chennai