Job Description

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Job Title: Senior Manager - ETL Developer
Location: Noida
Department: CX Transformation
Reports To: AVP Analytics
Type: Full-Time
Job Summary:
We are seeking a seasoned Senior Manager - ETL Developer to lead a team of ETL developers and data engineers in designing, building, and optimizing robust data integration pipelines. This role requires deep technical expertise in ETL tools and data architecture, combined with leadership skills to drive high-performance data engineering teams aligned with business goals.
Key Responsibilities:
Leadership & Strategy:
Lead, mentor, and grow a team of ETL developers and data engineers.
Define and enforce best practices for ETL development, data integration, and data quality.
Collaborate with stakeholders across analytics and business units to define data strategy and integration needs.
Manage team capacity, project timelines, and resource planning.
Technical Oversight:
Architect, develop, and maintain scalable and high-performance ETL solutions for structured and unstructured data.
Ensure the reliability, integrity, and quality of data pipelines and data flows.
Lead the design of enterprise data integration platforms including batch and real-time streaming.
Optimize and monitor ETL jobs for performance, scalability, and error handling.
Manage deployment of ETL processes to production environments, ensuring proper documentation and change control.
Compliance & Governance:
Ensure data pipelines meet compliance, security, and regulatory standards (e.g., GDPR, HIPAA).
Establish metadata management, data lineage, and audit trail processes.
Contribute to enterprise data governance policies and procedures.
Qualifications:
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
8+ years of hands-on ETL and data pipeline development experience.
3+ years of experience in a technical leadership or managerial role.
Expertise in ETL tools such as Informatica, Talend, SSIS, DataStage, or cloud-native ETL platforms (AWS Glue, Azure Data Factory, etc.).
Proficient in SQL and scripting languages (e.g., Python, Shell).
Strong understanding of data warehousing concepts and architecture (e.g., Redshift, BigQuery, Synapse).
Experience with cloud platforms (AWS, Azure, or GCP) and modern data stacks (e.g., Snowflake, BigQuery, Redshift).
Familiarity with DevOps practices, CI/CD pipelines, and version control systems (e.g., Git).
Preferred Qualifications:
Experience with real-time data streaming tools (e.g., Kafka, Apache NiFi).
Knowledge of data lake architecture and lakehouse frameworks.
Relevant certifications (e.g., Informatica Certified Developer, AWS Certified Data Analytics).
Agile/Scrum experience and project management skills.
What We Offer:
Competitive salary, performance bonuses, and equity options (if applicable)
Comprehensive benefits package (health, dental, vision, retirement)
Hybrid or remote work flexibility
Training and development support
A collaborative and innovative work culture