Data Engineer (Azure, Fabric, Databricks)
C
CollectivData analytics
Fully remote work environmentFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4+ years of experience in data engineering, analytics engineering, or data platform consulting
- Required Skills
- SQLMicrosoft Power BIAzureData engineeringSparkDatabricks
Requirements
- Bachelor's degree from an accredited university.
- At least 4 years of experience in data engineering, analytics engineering, or data platform consulting.
- Hands-on production experience with Microsoft Fabric and/or Databricks; experience with both is strongly preferred.
- Strong SQL skills, including performance tuning and optimization.
- Experience designing analytics data models, including star schemas, semantic models, or lakehouse patterns.
- Experience working with cloud data platforms; Azure is preferred.
- Ability to work independently in a client-facing consulting role.
- Preferred: experience migrating or modernizing data platforms, such as legacy data warehouses to lakehouse architectures.
- Preferred: familiarity with Power BI dataset modeling and performance optimization.
- Preferred: experience integrating data platforms with downstream applications or APIs.
- Preferred: Azure, Fabric, or Databricks certifications.
Responsibilities
- Design and implement modern data platforms using Microsoft Fabric and Databricks.
- Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices.
- Develop lakehouse architectures for analytics, reporting, and downstream data products.
- Translate business and analytical requirements into technical designs and data models.
- Develop and maintain semantic models for performant reporting and self-service analytics.
- Partner with analytics and business teams to deliver trusted datasets and dashboards.
- Write, optimize, and tune SQL and Spark-based transformations for analytical workloads.
- Apply version control, CI/CD concepts, and code review standards to data engineering workflows.
- Work with client stakeholders to gather requirements, communicate technical concepts, and manage expectations.
- Collaborate with project managers, architects, and consultants to align delivery with project goals.
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