Role & responsibilities

Develop, implement, and optimize ETL/ELT pipelines for processing large datasets efficiently.

- Work extensively with BigQuery for data processing, querying, and optimization.
- Utilize Cloud Storage, Cloud Logging, Dataproc, and Pub/Sub for data ingestion, storage, and event-driven processing.
- Perform performance tuning and testing of the ELT platform to ensure high efficiency and scalability.
- Debug technical issues, perform root cause analysis, and provide solutions for production incidents.
- Ensure data quality, accuracy, and integrity across data pipelines.
- Collaborate with cross-functional teams to define technical requirements and deliver solutions.
- Work independently on assigned tasks while maintaining high levels of productivity and efficiency.

Skills Required





- Proficiency in SQL and PL/SQL for querying and manipulating data.
- Experience in Python for data processing and automation.
- Hands-on experience with Google Cloud Platform (GCP), particularly:

o BigQuery (must-have)

o Cloud Storage o Cloud Logging o Dataproc o Pub/Sub

- Experience with GitHub and CI/CD pipelines for automation and deployment.
- Performance tuning and performance testing of ELT processes.
- Robust analytical and debugging skills to resolve data and pipeline issues efficiently.
- Self-motivated and able to work independently as an individual contributor.
- Good understanding of data modeling, database design, and data warehousing concepts.

Preferred candidate profile

📌 Gcp Data Engineer (Mumbai)
🏢 Tekskills
📍 Mumbai