Snowflake Data Engineer

Job Description

Job Description

Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world s leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you.

Job Description: Snowflake Data Engineer
Location: Detroit, Michigan _ Local Only

Work Arrangement: On-site Only
Need Local Candidate who can attend F2F Customer Interview.

Experience Required: 10 years

Mandatory Technologies: Aws, Snowflake, DataStage, and DBT

Job Overview
We are looking for an experienced Data Engineer / Technical Lead with mandatory expertise in Snowflake, DataStage, and dbt (data build tool) , along with strong skills in Data Warehousing, Data Modeling, and Data Engineering .
The ideal candidate will have hands-on experience with AWS data services , including Aurora, RDS, DMS, and DynamoDB, as well as Oracle, PL/SQL, and SQL. The candidate should also have leadership experience in customer-facing roles involving requirement gathering and solution design.

Roles and Responsibilities:

Technical Leadership and Data Engineering

• Lead end-to-end data warehousing projects using Snowflake, DataStage, and dbt , which are mandatory skills for this role.
• Design and implement scalable data models, ETL/ELT pipelines, and data architecture in Snowflake.
• Develop and optimize dbt models, transformations, and data workflows to support efficient analytics.
• Work with AWS data services, including Aurora, RDS, DMS, and DynamoDB , for data integration and migration.
• Optimize SQL and PL/SQL queries and improve database performance across platforms such as Oracle and PostgreSQL.
• Implement Change Data Capture (CDC) and real-time data-processing solutions.
• Ensure data governance, data quality, and adherence to data-engineering best practices.

Requirement Analysis and Customer Handling

• Collaborate with stakeholders to gather, analyze, and document business requirements.
• Handle Change Requests (CRs) and provide technical solutions aligned with business needs.
• Act as a bridge between business and technical teams to support data-driven decision-making.

Team Leadership and Mentorship

• Guide and mentor junior data engineers on Snowflake, dbt, and modern data-stack best practices.
• Ensure adherence to data security, compliance, and scalability principles.

Mandatory Skills and Experience

• 6 to 13 years of hands-on experience in Data Engineering, Data Warehousing, and Data Modeling.
• Expert-level proficiency in Snowflake, DataStage, and dbt (data build tool) . These are mandatory skills.
• Strong expertise in:
  • AWS data services, including Aurora, RDS, DMS, and DynamoDB
  • Oracle, PL/SQL, SQL, and database optimization
  • ETL/ELT pipelines and data integration
  • Data architecture and dimensional modeling, including Star Schema and Kimball methodology
• Experience in customer handling, requirement gathering, and solution design.
• Strong communication, stakeholder-management, and team-leadership skills.

For more information and other jobs available please contact our recruitment team at View email address on ziprecruiter.com . To view all the jobs available in the USA and Asia please visit our website at .