Data Engineer Senior Consultant

NTT DATA BUSINESS SOLUTIONS; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

NTT DATA BUSINESS SOLUTIONS in Hyderabad, Telangana, India is seeking a Data Engineer Senior Consultant to join our team. You will drive client engagements, design and implement data pipelines on Snowflake, and contribute to data architecture and governance.

The role requires deep Snowflake expertise, SQL and Python, and experience with cloud platforms (AWS/Azure/GCP). You will mentor engineers, collaborate with BI leadership, and deliver scalable, secure data solutions for global clients.

Qualifications

• Extensive experience in data engineering, warehousing, or data architecture.
• At least 3+ years working with Snowflake.
• Bachelor's degree or higher required.

Responsibilities

• Client engagement delivery.
• Data pipeline development and Snowflake platforms.
• Data architecture modelling and governance.
• Collaboration with solution architects and BI leadership.
• Quality governance and client stakeholder management.

Skills

Snowflake

ETL/ELT tools

SQL

Python

Cloud platforms

Data modelling

Data governance

CI/CD

Mentoring

Client engagement

Education

University degree

Snowflake certifications

Tools

DBT

Matillion

Talend

GitHub

Job description

Job Summary

We are currently seeking a Data Engineer Senior Consultant to join our team in Hyderabad, Telangana, India.

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.