Why This Role Stands Out
This on-site Snowflake Data Engineer role offers a significant opportunity to lead impactful data solutions and advance your technical expertise within a reputable company. If you are a seasoned professional with extensive experience in Snowflake, DataStage, dbt, and AWS data services, you will thrive in this challenging and rewarding position. Apply today to contribute to innovative data projects and further your career growth.
Quick Overview
Job Description
Hello,
I hope you're doing well.
I’m Abhay from Inceptra solutions llc. I came across your profile and felt it could be a good match for a current opportunity we’re working on.
Job Description: Snowflake Data Engineer
Location: Detroit Michigan, USA
Work Arrangement: On-site
No H1b/OPT
Experience Required: 10+ years
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.
Please share your updated resume and a good time for a quick conversation.
Looking forward to your response.
Thanks & Regards
Abhay Kumar Jain
Senior Technical Recruiter
INCEPTRA SOLUTIONS LLC
1520 Creekside Dr, Hoffman Estates, IL 60169
Phone Number: +1 ext. 115
Email:
LinkedIn:
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