Azure Data Engineer – Consultant

Key Skills

Azure, Data Lake, Databricks, ETL frameworks, Machine learning techniques, Python Programming, SPARK Programming, SQL

Job Description

Avanade Inc. seeks an Azure Data Engineer – Consultant in Chicago, IL to deliver analytics and business intelligence solutions to our clients. In this role, you will: design and set-up projects that bring together information from a variety of sources to enable analysis and decision-making; utilize personal knowledge to plan and deliver data warehouse and storage; take part in designing and running bespoke data services to individual projects; design, develop, adapt, and maintain data warehouse architecture and relational databases to support data mining; customize storage and extraction, meta-data, and information repositories; create and use effective metrics and monitoring processes; monitor key performance indicators to determine where current operations can be improved, and identify the causes of any problems; create the building blocks for transforming enterprise data solutions; design and build modern data pipelines, data streams, and data service Application Programming Interfaces (APIs); and create and maintain report forms and formats, information dashboards, data generators, and scanned reports, as well as other information portals and resources. Periodic travel to client sites (domestic) is expected. You must live within reasonable commuting distance of Chicago, IL.

Basic Qualifications:

The position requires at least a bachelor’s degree, or its foreign equivalent, in Computer Science, Applied Mathematics, Statistics, or Machine Learning, or closely related field, plus at least four (4) years of experience as an Azure Data Engineer – Consultant, or in a similar role in a technology or consulting environment. A qualified applicant's experience must include: 3 years of experience performing data engineering, warehousing, publishing and visualization throughout the full data lifecycle; 1 year of experience defining ETA architecture and ETL process design; 3 years of experience performing end-to-end implementation of data warehousing analytics solutions built on MS or Cloud Computing Services platforms; 3 years of experience working with Cloud Computing Services; and 3 years of experience using DPM specific tooling including SQL Server, Azure Synapse, Azure Data Lake, Azure Data Factory (ADF), Spark, Python, and Databricks.

Candidates who are interested in this position should select “Apply” below.