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hirist

Senior Data Engineer - ETL/BigQuery

Futures and Careers
6 - 10 Years
Multiple Locations

Posted on: 06/05/2026

Job Description

Job Description :


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


Ideal Candidate :


- 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 experience in dimensional data modeling, including implementation of Slowly Changing Dimensions (SCD Type 1 and Type 2) in data warehouse environments.


- 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.


- Exposure to data migration projects and/or data mesh architecture concepts. (Preferred)


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


- Experience working in product-based companies or data-driven environments.


- Bachelors or Masters degree in Computer Science, Engineering, or related field.


NOTE : Only Immediate joiners are considered :

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