Data Engineer

Job Role: Data Engineer
Job Location: Detroit, MI (Day 1 Onsite)
Job Type: Full Time
Salary Range: $90000 to $ /Annum

Key Responsibilities

• Design, develop, and maintain robust and scalable data pipelines for data ingestion, transformation, and loading.
• Build and Eligible to workimize data models and transformation workflows using DBT .
• Develop and support ETL/ELT processes using enterprise ETL tools.
• Implement and manage data warehousing solutions using Snowflake .
• Utilize AWS S3 for data storage and data lake architectures.
• Design and develop serverless data processing solutions using AWS Lambda .
• Create and maintain data integration workflows using AWS Glue .
• Work with scheduling and orchestration tools to automate and monitor data pipelines.
• Ensure data quality, consistency, security, and governance across the data platform.
• Troubleshoot data-related issues and Eligible to workimise system performance.
• Collaborate with data analysts, business stakeholders, architects, and application teams to understand data requirements and deliver effective solutions.
• Prepare technical documentation and present solutions to technical and non-technical audiences.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 5+ years of experience in Data Engineering or related roles.
• Hands-on experience with:
  • Snowflake
  • DBT (Data Build Tool)
  • Enterprise ETL/ELT tools
  • Scheduling/Orchestration tools (such as Airflow, Control-M, Autosys, etc.)
  • AWS S3
  • AWS Glue
  • AWS Lambda
• Strong understanding of SQL and data warehousing concepts.
• Experience designing and Eligible to workimise large-scale data pipelines.
• Knowledge of data modeling, data governance, and data quality best practices.
• Strong analytical and problem-solving capabilities.
• Excellent verbal and written communication skills.
• Strong presentation and stakeholder management skills.

Preferred Qualifications

• Experience with cloud-based data platforms and modern data architectures.
• Knowledge of data lake and data warehouse integration patterns.
• Experience with CI/CD and DevOps practices for data engineering.
• AWS or Snowflake certifications are a plus.
• Experience working in Agile environment