Snowflake Data Engineer

Job Title: Data Engineer / Technical Lead – Snowflake, DataStage & dbt

Location: Detroit, MI (Hybrid)

Experience: 12+ Years

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 in AWS data services (Aurora, RDS, DMS, DynamoDB), Oracle, PL/SQL, and SQL, coupled with leadership experience in customer-facing roles for requirement gathering and solution design.

Roles & Responsibilities

Team Leadership & Mentorship:

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

Mandatory Skills & Experience:

• 6-13 years of hands-on experience in Data Engineering, Data Warehousing, and Data Modeling
• Expert-level proficiency in Snowflake and dbt (data build tool) - Mandatory
• Strong expertise in:
• AWS Data Services (Aurora, RDS, DMS, DynamoDB)
• Oracle, PL/SQL, SQL, and database optimization
• ETL/ELT pipelines & Data Integration
• Data Architecture & Dimensional Modeling (Star Schema, Kimball, etc.)
• Experience in customer handling, requirement gathering, and solution design

Technical Leadership & Data Engineering:

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

              Requirement Analysis & 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 teams and technical teams for data-driven decision-making