Senior Analyst, Data Engineering

Dive into the world of Analytics, where your expertise in data engineering shapes insights for Avanade's clients.

Characteristics that demonstrate success for this role:

• Analytical and agile

• Collaborative with strong communication skills

• Patient, problem-solver, and quality-driven

• Self-motivated

• Innovative mindset

As a Data Engineer, you will transform business needs into technical solutions. You will design and implement data solutions using cloud technologies, especially Microsoft Azure. Design, build and maintain modern Datawarehouse, ETL, and data pipelines etc. and data governance and visualization.

To Learn more about Avanade check out these links: [3] LinkedIn [4] Inside Avanade Blog [5] Avanade Careers References Visible links 1. https://www.avanade.com/en/career/benefits 2. https://www.avanade.com/en-us/about-avanade/inclusion-and-diversity 3. https://www.linkedin.com/company/avanade 4. https://www.avanade.com/en/blogs/inside-avanade 5. https://www.avanade.com/ebout-avanade/careersSome of the best things about working at Avanade

• Opportunity to work for Microsoft's Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 8 hours per year for training and paid certifications) * Real-time access to technical and skilled resources globally

• Dedicated career advisor to encourage your growth

• Engaged and helpful coworkers genuinely interested in you Find out more about some of our benefits [1] Employee Benefits at Avanade | AvanadeEmbark on a journey where you'll harness data to craft meaningful business solutions. You'll translate complex requirements into actionable insights, ensuring our clients make informed, data-driven decisions. Together we do what matters. Proven ability to turn business use cases into technical solutions

• Expertise in data profiling, cataloging, and mapping for technical data flow; proficiency in SQL, Spark, PySpark, and Python, Scala, R, Azure SQL Server, Azure DevOps

• Working knowledge of Azure Data Factory, Databricks, Data Lake, and Synapse

• Experience with Profisee strongly desired

• Strong understanding of Microsoft Fabric, Microsoft Purview, PowerBI