Design, develop, and maintain scalable data pipelines and ETL processes using GCP services such as BigQuery, Cloud Data Fusion, Dataflow, Pub/Sub, Cloud Storage, Composer, Cloud Functions, and Cloud Run. Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality solutions. Implement data integration solutions to ingest, process, and store large volumes of structured and unstructured data. Optimise and tune data pipelines for performance, reliability, and cost-efficiency. Ensure data quality and integrity through validation, cleansing, and transformation processes. Develop and maintain data models, schemas, and metadata to support analytics and reporting. Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption. Stay updated with the latest GCP technologies and best practices, providing recommendations for improvement. Mentor and guide junior engineers, fostering knowledge sharing and collaboration.



3-5 years of relevant experience in Oracle Data Integrator with modelling and ETL design. Expertise in telecom domain for data migration projects and solution design. Strong knowledge of ODI concepts and experience in creating interfaces, packages, functions, procedures, and scenarios. Hands-on experience in creating load plans and scheduling them using ODI scheduler. Ability to create or modify ODI knowledge modules. Good understanding of RDBMS, SQL, PL/SQL, and data warehousing concepts. Strong analytical skills and explicit understanding of the data warehouse lifecycle. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

📌 ODI & GCP DATA ENGINEER (Pune)
🏢 Important Business
📍 Pune