Senior Data Engineer - Microsoft Fabric at Accellor

At Accellor, we are a trusted digital transformation partner that uses best-of-breed Cloud technology to deliver superior customer engagement and business effectiveness for clients. We’ve created an atmosphere that encourages curiosity, constant learning, and persistence. We encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy, and delegation – we know our people have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated – focused on building the perfect solution but never losing sight of the bigger picture.Role: Senior Data Engineer - Microsoft FabricPosition OverviewWe are seeking an experienced Senior Data Engineer for a contract position to design, develop, and optimize data solutions using Microsoft Fabric. This role requires deep technical expertise in modern data engineering practices and Microsoft's unified analytics platform.  Similar experience with Data Bricks would be considered.Key Responsibilities:Design and implement scalable data pipelines and ETL/ELT processes within Microsoft Fabric from a code-first approachDevelop and maintain notebooks, data pipelines, workspace  and other Fabric item configurationsBuild and optimize data architectures using delta tables, lakehouse, and data warehouse patternsImplement data modelling solutions including star schema, snowflake schema, and slowly changing dimensions (SCDs)Performance tune Delta, Spark, and SQL workloads through partitioning, optimization, liquid clustering, and other advanced techniquesDevelop and deploy Fabric solutions using CI/CD practices via Azure DevOpsIntegrate and orchestrate data workflows using Fabric Data Agents and REST APIsCollaborate with development team and stakeholders to translate business requirements into technical solutions Microsoft Fabric Expertise:Hands-on experience with Fabric notebooks, pipelines, and workspace configurationFabric Data Agent implementation and orchestrationFabric CLI and CI/CD deployment practicesProgramming & Development:Python (advanced proficiency)PySpark for distributed data processingPandas and Polars for data manipulationExperience with Python libraries for data engineering workflowsREST API development and integrationData Platform & Storage:Delta Lake and Iceberg table formatsDelta table optimization techniques (partitioning, Z-ordering, liquid clustering)Spark performance tuning and optimizationSQL query optimization and performance tuningDevelopment Environment:Visual Studio CodeAzure DevOps for CI/CD and deployment pipelinesExperience with both code-first and low-code development approachesData Modeling:Data warehouse dimensional modeling (star schema, snowflake schema)Slowly Changing Dimensions (SCD Type 1, 2, 3)Modern lakehouse architecture patternsMetadata driven approachesPreferred Qualifications:5+ years of data engineering experiencePrevious experience with large-scale data platforms and enterprise analytics solutionsStrong understanding of data governance and security best practicesExperience with Agile/Scrum methodologiesExcellent problem-solving and communication skills