Snowflake Data Engineer

Job Summary

We are currently seeking a Snowflake Data Engineer to join our team in Remote, Karnataka, India.

Responsibilities

• Client Engagement Delivery
• Data Pipeline Development
• Snowflake Cloud Data Platforms
• Data Architecture Modelling
• Collaboration Best Practices
• Quality Governance
• Business Relationships
• Solution Architects
• Data Engineers, Developers, and Analysts
• Client stakeholders up to Head of Data Engineering, Data Architect, and BI leadership levels

Technical Expertise

• Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).
• Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.
• Strong SQL and Python (or equivalent language) skills for data manipulation and automation.
• Hands-on experience with cloud platforms (AWS, Azure, GCP).
• Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).
• Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).
• Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.
• Understanding of data governance, security, and compliance frameworks.

Experience, Education, and Qualifications

• Experience: Minimum 58 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake.
• Education: University degree required.
• Preferred: BSc/MSc in Computer Science, Data Engineering, or related field; Snowflake certifications (SnowPro Core, Advanced) highly desirable.

Measures of Success

• Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.
• High client satisfaction and successful adoption of Snowflake-based solutions.
• Demonstrated ability to innovate and improve data engineering practices.
• Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.