[Hiring] Snowflake Data Engineer @NTT DATA Services

Role Description

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

• 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

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.

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.
• Preferred: BSc/MSc in Computer Science, Data Engineering, or related field; Snowflake certifications (SnowPro Core, Advanced) highly desirable.

Requirements

• 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.
• 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.

Company Description

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation.

• One of the world's leading AI and digital infrastructure providers.
• Unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services.
• Global Top Employer with experts in more than 50 countries.
• Access to a robust ecosystem of innovation centers and established/start-up partners.
• Part of NTT Group, investing over $3 billion each year in R&D.