The ideal candidate will be responsible for designing and maintaining scalable ETL pipelines, ensuring high-quality data delivery, and supporting enterprise analytics platforms using up-to-date GCP data services.

Key Responsibilities
Design, develop, and maintain robust ETL/ELT pipelines to move data from multiple source systems into a centralised data warehouse.
Develop data transformation logic to convert raw and disparate data into clean, standardised, and analytics-ready datasets.
Create and optimise complex SQL queries, stored procedures, and database objects.
Build and support data integration solutions using ETL tools and cloud-based data platforms.
Ensure data quality, validation, consistency, and governance across all data pipelines.
Troubleshoot and optimise ETL jobs to improve performance, scalability, and reliability.
Maintain ETL documentation, data mappings, and process workflows.
Collaborate with business, analytics,



and engineering teams to understand data requirements and deliver solutions.
Monitor and support production data pipelines and resolve data-related issues.

Required Experience
610 years of experience in ETL Development and Data Engineering.
Solid expertise in SQL and database programming.
Hands-on experience with ETL concepts and data integration frameworks.
Experience working with cloud-based data platforms, preferably Google Cloud Platform (GCP).
Strong understanding of Data Warehousing concepts and architecture.
Experience with data modelling techniques, including Star Schema and Snowflake Schema.
Knowledge of database performance tuning and optimisation.
Solid analytical and problem-solving skills.

📌 Etl Developer Gcp Data Engineering Hyderabad
🏢 L T M
📍 Hyderabad