Description
Senior Data Engineer - Snowflake, DBT
Location: Bengaluru, India
Department: Data Engineering & Analytics
Experience: 6+
Role Overview:
We are looking for a Senior Data Engineer with strong hands-on experience in Snowflake, DBT, Python, and SQL to design and build scalable, production-grade data platforms. This role will focus on developing reliable data pipelines, implementing modern ELT practices, and enabling analytics and AI-driven decision-making through well-modeled and governed datasets. The position requires deep technical ownership, strong architectural thinking, and the ability to drive best practices across the data engineering lifecycle.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using Python and modern ELT frameworks.
- Build and manage robust data warehouse solutions on Snowflake, including schema design, data modeling, and performance optimization.
- Develop modular, tested, and documented data transformations using dbt.
- Implement best practices for analytics engineering, including version control, testing, lineage, and documentation.
- Write optimized and scalable SQL transformations supporting analytical and reporting workloads.
- Develop reusable ingestion frameworks and automation workflows using Python.
- Ensure high data reliability through monitoring, validation checks, and automated testing strategies.
- Optimize Snowflake performance through warehouse tuning, query optimization, and storage management.
- Collaborate with Data Analysts, Data Scientists, and Business stakeholders to translate business requirements into scalable data solutions.
- Implement data governance standards including access control, lineage tracking, and data quality frameworks.
- Support orchestration and scheduling of workflows using Airflow or similar orchestration tools.
- Troubleshoot production data issues and drive continuous improvements in platform stability and performance.
- Mentor junior engineers and contribute to defining data engineering standards and architecture.
Required Skills:
- 6+ years of experience in Data Engineering roles.
- Strong hands-on expertise in Snowflake including:
- Data warehousing concepts
- Query optimization
- Performance tuning
- Cost optimization strategies
- Extensive experience with dbt (Data Build Tool) for transformation, testing, and documentation.
- Advanced proficiency in SQL for large-scale analytical processing.
- Strong programming skills in Python for data processing and automation.
- Solid understanding of ELT/ETL architecture, dimensional modeling, and modern data stack principles.
- Experience with workflow orchestration tools such as Apache Airflow.
- Experience implementing testing, monitoring, and data quality frameworks.
- Familiarity with CI/CD practices for data pipelines.
- Strong problem-solving ability and ownership mindset.
- Excellent stakeholder communication and collaboration skills.
Preferred Skills:
- Experience working with cloud platforms (AWS / Azure / GCP).
- Exposure to data governance and metadata management tools.
- Experience supporting BI, advanced analytics, or ML workloads.
- Knowledge of data observability frameworks.
- Prior experience mentoring engineers or leading technical initiatives.
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