Highly Experienced Data Engineer Wanted

4 days ago


nashik, India beBeeDataPipeline Full time

Job OverviewWe are seeking an exceptional Data Pipeline Architect to join our team and lead the design, development, and management of enterprise-grade data pipelines in Microsoft Fabric and Azure Data Factory (ADF).This role offers a unique opportunity to work with cutting-edge technologies, drive business growth, and make a significant impact on our organization's success.Design and develop metadata-driven data pipelines in Fabric and ADF for ingestion, transformation, and delivery.Implement transformations using SQL and Stored Procedures to ensure high-performance and maintainability.Architect solutions using industry-leading best practices, ensuring scalability, governance, and reusability.Key ResponsibilitiesThe ideal candidate will have a strong background in data engineering, excellent problem-solving skills, and the ability to lead small teams and mentor junior engineers.Mentorship: Lead and guide junior data engineers to ensure they have the necessary skills and knowledge to excel in their roles.Technical Leadership: Provide technical guidance and oversight to ensure that all data pipeline projects meet the required standards of quality, security, and performance.Project Management: Manage multiple projects simultaneously, prioritize tasks, and ensure timely completion of deliverables.RequirementsTo be successful in this role, you will need:A degree in Computer Science, Engineering, or a related field.At least 5 years of experience in data engineering, with a focus on data pipelines and architecture.Proven expertise in Microsoft Fabric and Azure Data Factory (ADF).Strong understanding of SQL, Stored Procedures, and data transformation concepts.Excellent communication and leadership skills.What We OfferIn return for your hard work and dedication, we offer a competitive salary, comprehensive benefits package, and opportunities for career growth and professional development.Join our dynamic team and contribute to the success of our organization as a seasoned Data Pipeline Architect.



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