About the role

Develop and manage scalable data pipelines and architectures using Snowflake and cloud-native platforms. Collaborate with client stakeholders to deliver high-quality data ingestion, transformation, and governance solutions.

What they look for

Snowflake Python SQL ETL/ELT DBT Matillion Talend AWS Azure GCP Data Modelling CI/CD GitHub Bitbucket Spark Hadoop

Requirements

Requires 5-8 years of data engineering experience with at least 3 years specializing in Snowflake. A university degree is required, with a preference for a BSc/MSc in Computer Science or related fields and SnowPro certifications.

Full description

Req ID: 380951

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.

We are currently seeking a Snowflake Data Engineer to join our team in Remote, 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

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 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. "

About NTT DATA

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. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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