AWS Data engineer
Purple Drive
Overview: AWS Data Engineer Location: Owings Mills, MD - Hybrid Onsite (LOCAL CANDIDATES ONLY!) Contract Role Role Overview We are seeking a highly skilled AWS Data Engineer with extensive experience in designing, developing, and optimizing large-scale data pipelines and cloud-native solutions. The ideal candidate will bring strong expertise in Python, PySpark, Apache Airflow, and AWS services , with a proven background in data migrations, enterprise data warehouses, and data lakes. Key Responsibilities
- Design, develop, and optimize data pipelines using Apache Airflow.
- Build scalable data solutions across Operational Data Stores, Data Warehouses, Data Lakes, and Data Marts .
- Leverage AWS services such as EKS, EMR, Glue, HashiCorp Vault, Docker, and Kubernetes for data engineering solutions.
- Apply strong SQL knowledge to design and manage data models and warehouse solutions .
- Collaborate with business and IT stakeholders to gather requirements and deliver high-quality solutions.
- Support data migration initiatives and implement ETL/ELT pipelines (DBT/Glue/EMR experience is a plus).
- Contribute to Agile-based development processes with accurate effort estimation and planning .
- 8+ years of hands-on experience in Python, PySpark, Apache Airflow, and AWS services (EKS, EMR, Glue, Kubernetes, Docker, HashiCorp Vault).
- 10+ years of overall experience in data migrations and warehouse development .
- Strong knowledge of SQL and the complete Data Warehousing lifecycle .
- Excellent communication skills to work across business and technical teams.
- Proven ability to plan, estimate, and execute data engineering projects.
- Experience with cloud-native ETL/ELT tools such as DBT, Glue, or EMR.
- Prior experience in Agile environments with sprint-based delivery.
Vacancy posted 1 day ago
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