Senior Data Engineer
2 days ago
Sr. Data engineer- Data and Analytics team and work with in IT team. You will play a crucial role in designing, developing and maintaining data solutions using Microsoft Fabric, Spark, PySpark and Python. You will be responsible to review business requests and translate them into technical solution and technicial specification. In addtion you will work with team members to mentor fellow developers to grow their knowledge and expertize. You will be working in a fast paced and high-volume processing environment, where quality and attention to detail are vital.Roles and responsibilities:Design and implement end-to-end data engineering solutions by leveraging the full suite of Fabric toolds, including data ingestion, transformation, and Modeling.Design, develop and maintain end-to-end data pipelines by using spark, ensuring scalability, reliability, and cost optimized solutions.Collaborate with internal teams and clients to understand business requirements and translate them into robust technical solutions using Microsoft Fabric.Conduct performance tuning and troubleshooting to identify and resolve any issues.Implement data governance and security best practices, including role-based access control, encryption, and auditing.Translate Business requirements into high-quality technical documents including, data mapping, data processes, and operational support guidesWork closely with architects, product managers and reporting team to collect functional and system requirements.Work in fast pace environment and perform effectively in an agile development environment.Strong problem-solving skills, with ability to perform multi tasking
Qualifications:8+ years of experience in designing and implementing data solutions with at least 4+ years of experience in
Azure synapse
data engineering.Extensive experience with Microsoft Fabric, including a deep understanding of its architecture, data modeling, and real-time analytics.Minimum 6+ years of exepericne in Spark, PySpark and Python.Must have strong experience in SQL, Spark SQL, data modeling & RDBMS concerptsStrong knowledge of Data Fabric services, particularly Data engineering, Data warehouse, Data factory, and Real- time intelligenceMust have problem solving skillsFamiliarity with security best practices in cloud environments, includingAzure Active Directory, encryption, and data privacy compliance.Communicate effectively in both oral and writtenExperience in AGILE development, SCRUM and Application Lifecycle Management (ALM)
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