Analytics Engineer or Data Engineer Building medallion architecture in dbt/microsoft fabric to support self serve data analytics. Building data ingestion pipelines. Establishing governance, lineage, documentation, quality checks. Requires dbt, sql, pyspark, python.
Summary: We are seeking an experienced Analytics Engineer or Data Engineer to develop and implement a medallion architecture using dbt and Microsoft Fabric. The role involves building robust data ingestion pipelines and supporting self-serve data analytics. The successful candidate will play a critical role in establishing data governance, lineage, documentation, and quality checks.
Responsibilities:
- Design and build medallion architecture in dbt and Microsoft Fabric to enhance data analytics capabilities.
- Create and maintain data ingestion pipelines to ensure efficient data flow and integration.
- Establish data governance protocols, ensuring compliance with industry standards and best practices.
- Implement data lineage and documentation to facilitate data traceability and transparency.
- Develop and enforce data quality checks to maintain the integrity and accuracy of data assets.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Qualifications:
- Proven experience with dbt, SQL, PySpark, and Python.
- Strong understanding of data engineering principles and best practices.
- Experience in building data architectures, specifically medallion architectures.
- Familiarity with Microsoft Fabric or similar data platform technologies.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills to effectively collaborate with technical and non-technical stakeholders.
Remote Remote (Global) Contract