Key Responsibilities
Lead the design, development, and optimization of data pipelines and data warehouse solutions on Snowflake.
Develop and maintain dbt models for data transformation, testing, and documentation.
Collaborate with cross-functional teams including data architects, analysts, and business stakeholders to deliver robust data solutions.
Ensure high standards of data quality, governance, and security across pipelines and platforms.
Leverage Airflow (or other orchestration tools) to schedule and monitor workflows.
Integrate data from multiple sources using tools like Fivetran.
Provide technical leadership, mentoring, and guidance to junior engineers in the team.
Optimize costs, performance, and scalability of cloud-based data environments.
Contribute to architectural decisions, code reviews, and best practices.

Required Skills & Experience
8–12 years of overall experience in Data Engineering, with at least 3–4 years in a lead role.




Strong hands-on expertise in Snowflake (data modeling, performance tuning, query optimization, security, and cost management).
Proficiency in dbt (core concepts, macros, testing, documentation, and deployment).
Solid programming skills in Python (for data processing, automation, and integrations).
Experience with workflow orchestration tools such as Apache Airflow.
Exposure to ELT/ETL tools like Fivetran.
Robust understanding of up-to-date data warehouse architectures, data governance, and cloud-native environments.
Excellent problem-solving, communication, and leadership skills.

Positive to Have
Hands-on experience with Databricks (PySpark, Delta Lake, MLflow).
Exposure to other cloud platforms (AWS, Azure, or GCP).
Experience in building CI/CD pipelines for data workflows.

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📌 Snowflake Lead Bengaluru (India)
🏢 Codevian Technologies
📍 India