Lead Data Systems Developer
3 days ago
We are seeking an experienced data engineer to develop and maintain a unified data platform that supports our business intelligence tools.
About the Position
- Define, map, and model the data and data-flows from multiple systems in line with our target data architecture, ensuring seamless integration and efficient processing.
- Create and manage end-to-end data pipelines using Azure, enabling the ingestion, transformation, and loading of data from various sources into our data ecosystem.
- Support AI and insights functions by providing a centralized data repository and facilitating access to relevant data assets.
- Ensure data quality through rigorous testing and validation, verifying completeness and accuracy against established processes.
About You
- Minimum 3 years of experience in data engineering, with a strong background in developing and maintaining large-scale data systems.
- Familiarity with Databricks and proficiency in ETL & ELT data migration patterns.
- Expertise in creating and managing data pipelines using DBT, FiveTran, Stitch, Talend, or similar tools.
- Strong understanding of orchestration tools, such as Airflow, Dataflow, or AWS Glue, for streamlined workflow automation.
- Proficiency in a programming language like Python, JavaScript, or SQL, with expertise in relational database management systems.
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