Join NTT DATA, a global leader in business and technology services, and contribute to innovative digital solutions. We are seeking a skilled Snowflake Data Engineer with extensive experience in modern data integration and transformation.

This role involves designing, developing, and maintaining scalable data pipelines, ensuring data quality, and supporting enterprise data warehousing. A strong understanding of data lakehouse architectures, CI/CD practices, and Git-based workflows is essential for success in this position.

Key responsibilities include designing and developing robust ETL/ELT pipelines, building and optimizing data transformation logic using DBT, and managing data models within Snowflake.

You will be responsible for configuring and troubleshooting data ingestion via Fivetran, writing complex SQL queries, and implementing comprehensive data quality checks. Collaboration with cross-functional teams to understand requirements and deliver impactful data solutions is also a core part of this role.

Further duties involve optimizing Snowflake performance, developing technical documentation, troubleshooting production issues, and supporting automated deployment processes to ensure seamless operations across environments.

A minimum of 6 years of experience in Data Engineering is required, with at least 2 years specifically in Snowflake and DBT. Strong hands-on expertise with Fivetran and Snowflake Data Cloud is crucial.

Proficiency in DBT for data transformations and modeling, alongside experience designing and developing data pipelines across Bronze and Silver layers in data lakehouse environments, is expected. A solid grasp of data warehousing concepts, dimensional modeling, and data transformation patterns is necessary.

Additional qualifications include experience with SQL performance optimization, Snowflake tuning, CI/CD practices, Git-based development, and deployment automation. Familiarity with data quality, testing, monitoring, and governance frameworks is also beneficial.