Senior Engineer – Batch ETL, Big Data & Workflow Orchestration
TinyURL (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 18–32 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize enterprise-scale batch ETL pipelines for regulatory, supervision, and analytics platforms.
- Lead ETL development using Informatica and PySpark, including building and maintaining Apache Airflow DAGs for batch workflow orchestration.
- Drive performance tuning, data quality, and operational stability, while collaborating with architecture, system teams, and business stakeholders to deliver compliant data solutions.
Minimum Requirements
- Strong hands-on experience with batch ETL architectures in regulated environments.
- Advanced expertise in Informatica and strong proficiency in PySpark.
- Hands-on experience with Apache Airflow including DAG authoring, scheduling, and monitoring.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in operating with minimal supervision on complex, end-to-end data engineering problem areas.
- Skilled in managing performance and reliability for large datasets on distributed and cloud-based data platforms.
- Capable of mentoring junior engineers and contributing to raising team engineering maturity.