We are looking for a high-impact Senior Data Engineer to join a fast-growing, data-driven team. This role requires strong ownership of end-to-end data pipelines, hands-on expertise in ETL/ELT workflows, and solid exposure to modern cloud data stacks (GCP preferred).

You will play a key role in building scalable, reliable, and high-performance data systems that power business decisions.

Key Responsibilities :

- Design, build, and maintain scalable data pipelines and ETL/ELT workflows

- Implement transformation logic and data models using dbt / Dataform / BigQuery

- Develop and optimize data solutions on GCP (preferred) / AWS / Azure

- Work on data migration projects and support modern data architecture (data mesh concepts)

- Collaborate with data analysts, data scientists, and business teams

- Ensure data quality, governance, and reliability across pipelines

- Troubleshoot data issues and implement monitoring & performance optimization

Must-Have Requirements :

- 6+ years of hands-on experience in Data Engineering

- Strong experience with ETL/ELT pipelines & workflow orchestration

- Hands-on experience with any one : Dataform / dbt / BigQuery

- Experience with cloud platforms : GCP (preferred), AWS, or Azure

- Strong SQL skills (complex queries + performance optimization)

- Proficiency in Python and/or SQL for data processing

- Proven experience in building scalable data pipelines & debugging issues

Good to Have :

- Experience with Spark / PySpark or large-scale data frameworks

- Exposure to data migration / data mesh architecture

- Background in product-based or data-driven companies

- Bachelors/Masters in Computer Science or related field

Important Notes (Must Read) :

- Virtual Interview Drive on 28th & 29th March (10 AM 6 PM)

- Candidates must be available on both days if shortlisted

- Only Immediate Joiners (015 days) will be considered