Senior Data Engineer

We are looking for a Senior Data Engineer with strong expertise in SQL, advanced data warehousing concepts, and programming skills in Python or Java. The role requires hands-on experience with GCP BigQuery, Dataflow, Cloud Composer, and strong exposure to Data governance and data management. All transformations are built using dbt, so familiarity with dbt development and best practices is essential. Experience with Snowflake or Databricks is a plus.
Responsibilities
Build scalable data pipelines using BigQuery, Dataflow, and Cloud Composer.
Develop ELT transformations and data models using dbt following modular, testable, and governed practices.
Apply advanced data warehousing techniques, performance optimization, partitioning, clustering, and data modeling patterns.
Implement data governance, quality rules, lineage, and metadata workflows.
Develop production-ready code in Python/Java for orchestration, automation, and data processing.
Collaborate with analytics, product, and business teams to define data requirements.
Ensure secure, reliable, and cost-optimized data pipelines aligned to best practices.
Support CI/CD, monitoring, troubleshooting, and continuous improvement of pipelines and dbt models.
Qualifications
3–7 years of experience in data engineering, data warehousing, or analytics engineering roles.
Strong expertise in SQL and advanced data warehousing topics (modelling, performance tuning, optimization).
Hands-on experience with GCP BigQuery, Dataflow, Cloud Composer
Practical experience developing transformations and models in dbt.
Proficiency in Python or Java for data processing and automation.
Immediate Joiners preferred
Strong problem-solving skills, communication, and ability to collaborate with cross-functional teams.

Work arrangement
No