Senior Snowflake Data Engineer - Supply Chain Analytics

NTT DATA North America

Charlotte (NC)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

NTT DATA North America is seeking an experienced Data Engineer to design and optimize Snowflake data solutions across ISC processes. You will ingest data from multiple sources using Fivetran and Informatica IICS, develop Snowflake objects, and ensure data quality for planning and logistics reporting.

The role requires strong SQL, data modeling, and performance tuning skills, with experience in manufacturing domains and SAP data.

Qualifications

  • 10+ years in data engineering, data warehousing, ETL/ELT, or analytics-platform development.
  • 6+ years hands-on Snowflake development in enterprise projects.
  • 2+ years building ingestions with Fivetran and/or Informatica IICS.
  • 5+ years advanced SQL, dimensional modeling, performance tuning.
  • 2+ years in manufacturing-domain projects within Integrated Supply Chain.
  • 3+ years SAP data handling knowledge.
  • SnowPro Core or advanced Snowflake cert is a plus.

Responsibilities

  • Design, develop, and optimize Snowflake data solutions for ISC processes.
  • Ingest data from multiple sources using Fivetran and IICS with auditable pipelines.
  • Develop Snowflake objects: databases, schemas, tables, views, streams, and procedures.
  • Coordinate with clients and stakeholders to gather requirements and ensure delivery.

Skills

Snowflake development
Data warehousing
SQL
Data modeling
Fivetran
Informatica IICS
Control-M
Opsera CI/CD
Data ingestion

Education

Bachelor's degree in computer science or equivalent work experience

Tools

Snowflake
Fivetran
Informatica IICS
Control-M
Opsera

Job description

NTT DATA North America is seeking an experienced Data Engineer to design and optimize Snowflake data solutions across ISC processes. You will ingest data from multiple sources using Fivetran and Informatica IICS, develop Snowflake objects, and ensure data quality for planning and logistics reporting.

The role requires strong SQL, data modeling, and performance tuning skills, with experience in manufacturing domains and SAP data.

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