Responsibilities

- Design, build, and optimize scalable data pipelines using Python, SQL, DBT, and Apache Airflow
- Develop and manage DBT models and ensure reliable workflow orchestration in Airflow
- Monitor and maintain Snowflake platform performance, availability, and cost efficiency
- Troubleshoot and resolve issues across data ingestion, transformation, and pipelines
- Implement and maintain end-to-end data quality testing and validation frameworks
- Automate deployments and workflows using GitLab CI/CD and support release processes
- Provide support to users and collaborate with teams on Snowflake, Airflow, and data solutions
- Document architecture and best practices while contributing to technical design, mentoring, and continuous improvement

Skills Must have
- 7+ years of proven experience as a Senior Data Engineer




- Hands-on experience with Snowflake (preferred) or Databricks/Oracle
- Solid experience with DBT (data modeling and transformation)
- Experience with cloud platforms AWS (preferred) or Azure
- Strong SQL
- advanced query writing and optimization skills
- Solid Python
- experience in data processing and automation
- Basic CI/CD knowledge (GitLab or similar)
- understanding of deployment pipelines
- Apache Airflow
- workflow orchestration
- Data Build Tool
- data transformation and modeling

Nice to have
- Terraform
- infrastructure as code
- Kafka
- event streaming and messaging

📌 Senior Data Engineer (Snowflake) (Karnataka)
🏢 Luxoft
📍 Karnataka