Snowflake Data Engineer

NTT DATA, Inc.; Karnataka; On-site; INR 1,700,000 - 2,600,000; Full time

Job summary

NTT DATA is seeking a Snowflake Data Engineer to join our remote team in Karnataka, India. You will design and implement scalable data pipelines, optimize Snowflake warehouses, and collaborate with client stakeholders to deliver data-driven solutions.

The ideal candidate has 5–8 years in data engineering with Snowflake, strong SQL/Python, and cloud platform experience. You will mentor engineers and contribute to governance and best practices across projects.

Qualifications

• Minimum 5–8 years in data engineering, data warehousing, or data architecture roles.
• At least 3+ years working with Snowflake.
• University degree required; Snowflake certifications highly desirable.

Responsibilities

• Client Engagement & Delivery.
• Data Pipeline Development.
• Snowflake & Cloud Data Platforms.
• Data Architecture & Modelling.
• Collaboration & Best Practices.
• Quality & Governance.
• Business Relationships: Client stakeholders up to Head of Data Engineering, Data Architect, and BI leadership levels.

Skills

Data pipeline development

Client-facing collaboration

SQL and Python

Cloud platforms (AWS/Azure/GCP)

Data governance & security

Data modelling awareness

Education

University degree

Tools

DBT

Matillion

Talend

Job description

We are currently seeking a Snowflake Data Engineer to join our team in Remote, Karnātaka (IN-KA), India (IN).

Responsibilities

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

Key Competencies

• Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.
• Strong consulting values with ability to collaborate effectively in client‑facing environments.
• Expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.
• Strong problem‑solving, analytical, and communication skills.
• Experience leading or mentoring teams of engineers in delivering high‑quality data solutions.

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, Qualifications and Education

• Experience: Minimum 5–8 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.

Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For Pay Transparency information, please click here. For more information on your EEO rights under the law, please click here. For our EEO Policy Statement, please click here.