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Snowflake Data Engineer

NTT DATA PAYMENT SERVICES INDIA PRIVATE LIMITED
Posted on
NTT DATA PAYMENT SERVICES INDIA PRIVATE LIMITED logo

Experience
3 - 8 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Snowflake Data Engineer
Job Type
Not specified

Job Description

Req ID: phone_number
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
Job Summary
We are currently seeking a Snowflake Data Engineer to join our team in Bangalore, Karnataka (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
  • Solution Architects
  • Data Engineers, Developers, and Analysts
  • Client stakeholders up to Head of Data Engineering, Data Architect, and BI leadership levels
Competencies / Critical Skills 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 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.