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.
Robust 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.

📌 Snowflake Data Engineer Mumbai
🏢 NTT DATA Business Solutions
📍 Mumbai