Senior Azure Data Engineer Offline
As a Senior Azure Data Engineer, this associate will be responsible for designing, implementing, and maintaining efficient and secure data solutions using Azure Data Factory. This role requires an individual with strong business acumen and exceptional communication skills, capable of articulating complex technical concepts to stakeholders at all levels.
Requirements:
A minimum of 5 years of experience in managing and developing solutions on the Azure data platform.
Extensive experience with Azure Data Factory, SQL Server database design, and ETL processes.
Proven track record of performance optimization in data management systems.
Strong analytical skills and business acumen.
Excellent communication and interpersonal skills.
Performance: Demonstrated ability to deliver high-quality results swiftly and efficiently.
Availability: Committed to meeting project deadlines and achieving excellence.
Role Skills:
Azure Data Factory Development: Design and develop data pipelines using Azure Data Factory (ADF) to facilitate the efficient and secure transfer of data across various platforms.
Stored Procedure Writing: Create and optimize SQL Server stored procedures to support data transformation, loading, and retrieval processes.
SQL Server Tables & View Design: Design and implement robust SQL Server tables and views, ensuring they meet business requirements and performance standards.
Performance Optimization: Continuously monitor and optimize the performance of SQL queries, stored procedures, and ADF pipelines to ensure optimal efficiency and speed.
ETL Pipeline Construction: Develop and manage end-to-end ETL (Extract, Transform, Load) processes, ensuring data accuracy, completeness, and timeliness.
Write and optimize PowerShell scripts for data extraction, transformation, and loading (ETL) processes.
Automate data refresh and other routine tasks using PowerShell.
Power BI data modeling and data-related queries.
Business Acumen: Utilize strong business acumen to understand company objectives and how data solutions can support these goals, providing strategic advice and insights.
Communication Skills: Employ articulate communication skills to effectively convey complex technical information to non-technical stakeholders, ensuring clarity and understanding.
Continuous Learning & Adaptation: Stay abreast of the latest developments in Azure data platform technologies. Continuously learn and adapt to new tools and techniques to maintain a competitive edge.
Role Competencies:
Collaborate with the team members and support the team
Work with the Leadership team to meet expectations based on value delivered and data feasibility.
Work closely with the Product Owner and Scrum Master to ensure the product can deliver quality and value as expected by the Leadership.
Share frequent demos regarding the status and concerns/questions from the team to the leadership for better clarity