Data Engineer

24 hours ago

India PrimeForce Solutions Full time

Company Description PrimeForce Solutions is a global R&D solutions provider specializing in the life sciences industry. Our team's expertise in life sciences processes and technical knowledge allows us to deliver high-quality services to our clients. We are seeking an experienced Data Engineer to design, develop, and maintain interactive Power BI dashboards and reports to empower business stakeholders with actionable insights. The ideal candidate will have strong expertise in modern data platforms and analytics engineering, with the ability to translate business requirements into robust technical solutions. Build and optimize ETL pipelines for data ingestion, transformation, and loading into analytics platforms (Power BI, Microsoft Fabric). Develop and implement star schemas, data models, and semantic models for analytics cubes to support enterprise reporting and BI needs. Collaborate with data scientists, analysts, and business teams to translate requirements into scalable data solutions. Ensure data quality, governance, and security across all BI workflows, adhering to best practices. Deploy and monitor data solutions on cloud platforms (Azure preferred). Continuously improve performance of data pipelines and reports through optimization and automation. 5–7 years of experience in data engineering, with a focus on BI solutions and Power BI development. ~ Bachelor’s degree in information systems, Computer Science, Business Administration, or related field; master’s degree preferred. Must Have Industry experience working in Clinical, EDC, Safety data within Life Science, Medical Device, BioTech or Pharmaceutical organizations. Strong expertise in Power BI (DAX, Power Query, report design) and building intuitive, high-performance dashboards. Proven experience designing and implementing ETL processes and star schemas for analytics cubes. Hands-on experience with Microsoft Fabric data platform. Proficiency in SQL for querying and transforming large datasets. Familiarity with Azure data services (e.g., Azure Data Factory, Synapse Analytics) or equivalent cloud tools. Self-motivated with a proactive approach to problem-solving, capable of managing complex projects with minimal oversight. Knowledge of data warehousing concepts and tools (e.g. Exposure to AI/ML integration for predictive analytics or anomaly detection

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