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.
- Solid 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