Microsoft Fabric, including Lakehouse (Delta format), OneLake, Pipelines & Dataflows Gen2, Notebooks (PySpark), Power BI & Semantic Models. Possess a solid understanding of data integration patterns, ETL/ELT, and modern data architectures. Be familiar with CI/CD practices in a data engineering context. Have excellent SQL and Spark (PySpark) skills. More ❯
gravitas to a business-facing role. Senior Data Engineer: Must-Have Experience: Strong SQL skills and experience with SSIS, SSRS, SSAS, SSMS Data warehousing, ETL processes, best practice data management Azure cloud technologies (Synapse, Databricks, Data Factory, Power BI) Microsoft Fabric (not essential) Python/PySpark Proven ability to work More ❯
for data platforms built on Microsoft Fabric. * Leading QA efforts across agile delivery squads. * Developing automated tests for: - PySpark notebooks in Fabric or Databricks - ETL pipelines and transformation logic - Delta tables and multi-layered Lakehouse architectures * Embedding testing into CI/CD flows using Azure DevOps or GitHub Actions. * Creating More ❯
experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯
it's properly understood, organized and governed. Knowledge of some Data Management technologies such as Relational and Columnar Databases, and/or Data Integration (ETL) or API development. Knowledge of some Data Formats such as JSON, XML and binary formats such as Avro or Google Protocol Buffers. Experience collaborating with More ❯
