Snowflake Data Engineer

NTT DATA North America

Bengaluru Urban

On-site

INR 1,200,000 - 2,400,000

Full time

14 days+

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Job summary

NTT DATA North America is seeking a Snowflake Data Engineer to join our team in Bangalore, Karnataka, India. You will own data pipeline development, collaborate with solution architects and data stakeholders, and deliver scalable Snowflake-based data solutions.

The ideal candidate has 5–8 years in data engineering or data warehousing, strong SQL and Python skills, hands-on experience with Snowflake features, and familiarity with cloud platforms (AWS/Azure/GCP).

Qualifications

  • Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake.
  • University degree required; CS/Data Engineering preferred.
  • Snowflake certifications highly desirable.
  • Strong SQL, Python, and cloud platform experience.

Responsibilities

  • Client Engagement & Delivery
  • Data Pipeline Development
  • Snowflake & Cloud Data Platforms
  • Data Architecture & Modelling
  • Collaboration & Best Practices
  • Quality & Governance

Skills

Snowflake
Data pipelines
SQL
Python
Cloud platforms
ETL/ELT
Data modelling
Data governance
Mentoring teams

Education

University degree
BSc/MSc in CS or related field
Snowflake certifications (SnowPro Core/Advanced)

Tools

DBT
Matillion
Talend
GitHub
CI/CD
Spark
Hadoop

Job description

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

Primary 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
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.

NTT DATA is an 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. Pay Transparency information available upon request.

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