remote
Data Engineer - Value & Analytics
Data Engineer
Data Engineer focused on building scalable analytics pipelines on AWS and Azure, leveraging Python, SQL, and ETL best practices within an Agile environment to deliver actionable business insights.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines on AWS and Azure cloud platforms.
- Implement ETL processes to ingest, transform, and load data from diverse sources into analytical data stores.
- Collaborate with data scientists and business analysts to model data structures that support advanced analytics and reporting.
- Apply Agile methodologies to plan sprints, track progress, and continuously improve delivery cycles.
- Monitor pipeline performance, troubleshoot issues, and optimize for cost and scalability.
Requirements
- Strong experience with AWS services (e.g., S3, Redshift, Glue) and Azure services (e.g., Data Lake, Synapse).
- Proficiency in Python and SQL for data manipulation and scripting.
- Hands‑on experience building ETL workflows and data models for analytics.
- Familiarity with Agile development practices and tools (e.g., Jira, Scrum).
- Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
awsazurepythonsqlagile