Data Engineer Consultant

Req ID: 380947 

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 Data Engineer Senior Consultant 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
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. "