Senior data engineer
2 weeks 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, Py Spark 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 guides
Work 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, Py Spark and Python.
Must have strong experience in SQL, Spark SQL, data modeling & RDBMS concerpts
Strong knowledge of Data Fabric services, particularly Data engineering, Data warehouse, Data factory, and Real- time intelligence
Must have problem solving skills
Familiarity with security best practices in cloud environments, including Azure Active Directory, encryption, and data privacy compliance.
Communicate effectively in both oral and written
Experience in AGILE development, SCRUM and Application Lifecycle Management (ALM)
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