Job Title: Lead Data/ Senior Data Engineer
Location: Charlotte, NC or Chicago, IL
Mode: Onsite
Type: Contract
Experience: 12 + years
Job Description: We are seeking a seasoned Data Lead / Senior Data Engineer to join our team as a technical anchor for a data platform. In this role, you won't just be building pipelines; you’ll be the bridge between complex business requirements and scalable technical reality.
You will lead the development of robust ETL processes, support a team of developers, and collaborate closely with stakeholders to ensure customer's data infrastructure evolves alongside our business goals.
Key Responsibilities:
- Development: Good understanding of data platforms and ETL frameworks, design, develop, and maintain end-to-end ETL/ELT pipelines using Python, AWS Glue, Snowflake, and dbt (optional).
- Orchestration & Automation: Build and manage sophisticated workflow schedules using AWS Airflow (MWAA) and other native AWS Services.
- Agile Leadership: Own the project lifecycle within JIRA, from sprint planning and task breakdown to maintaining rigorous design documentation.
- Stakeholder Collaboration: Partner with the Project Manager and Data Engineering Team Leads to translate ambiguous business needs into clear technical requirements and identify potential project risks early.
- Technical Mentorship: Act as a lead for the development team, providing technical guidance, conducting thorough code reviews, and helping peer developers digest complex requirements.
- Operational Excellence: Support the Data Operations/Production Support teams in troubleshooting critical issues and ensuring high system uptime.
- Strategic Planning: Contribute to the long-term technical roadmap, identifying opportunities for tool optimization and architectural improvements.
Required Technical Skills:
- AWS (Glue, S3, IAM, MWAA/Airflow)
- Snowflake (SnowSQL, Performance Tuning)
- DBT (Data Build Tool), Star/Snowflake Schema
- JIRA, Agile/Scrum Methodologies
Thanks & Regards,
Diana
Realtek Consulting, LLC