
Data Engineer
2 days ago
Fixed-term employment: 6 months
Shift and work management: hybrid, 3 days onsite
As a Data Engineer, you will be responsible for building and maintaining scalable data pipelines and infrastructure using AWS and Databricks. You'll work closely with data scientists, analysts, and business stakeholders to enable data-driven decision-making across company's global supply chain.
Key Responsibilities
- Develop and optimize data pipelines using Databricks (PySpark) and AWS services (Glue, Lambda, S3, Redshift, etc.)
- Implement data ingestion, transformation, and integration workflows
- Ensure data quality, reliability, and performance across systems
- Collaborate with cross-functional teams to understand data requirements and build analytical data layer for analytics consumption
- Monitor and troubleshoot data workflows and infrastructure
- Maintain documentation and support CI/CD practices for data engineering
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- 3+ years of experience in data engineering with AWS and Databricks
- Strong skills in Python, SQL, and PySpark
- Experience with data lakehouse architectures, Delta Lake, and ETL frameworks
- Familiarity with DevOps tools and Infrastructure as Code (e.g., Terraform)
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