We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency with a preference for GCP/BigQuery expertise.

Responsibilities :

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

- Work with Dataform or dbt to implement transformation logic and data models

- Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure

- Support data migration initiatives and data mesh architecture patterns

- Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products

- Apply data governance and quality best practices across the data lifecycle

- Troubleshoot pipeline issues and drive proactive monitoring and resolution

Strong Data Engineer Profile :

- Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.

- Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.

- Must have hands-on experience with any one of the following : Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.

- Must have working experience on any cloud platform : GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).

- Must have strong SQL skills with experience in writing complex queries and optimizing performance.

- Must have programming experience in Python and/or SQL for data processing.

- Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.