Manager, Data Engineering and Analytics Naperville, IL

Manager, Data Engineering and Analytics Naperville, IL
Job Type: Permanent
Compensation: $120,000 - 150,000 Annually
JobID: 2167064-EQG
Description

client that is seeking a Manager, Data Engineering and Analytics in Naperville, IL. Key Tasks:
Owns the Solution Architecture and ensures best practices and internal processes are followed when solutions are designed and implemented
Create and own standards and templates to streamline the data pipelines and engineering processes
Collaborate with cross-functional teams for effective management of the Data and Analytics environment
Lead engineering teams in timely delivery of products working closely with product and stakeholders
Manage identification of data sources, provide data flow diagrams, and document source to target mapping and process
Effectively lead and collaborate with engineering and database teams respectively to manage the data warehouse performance by optimizing batch processing through parallelization, performance tuning, aggregations, etc.
Recognize and adopt best practices in developing analytical insights including data integrity, analysis, test design, validation, and documentation
Proactively promotes data quality and security through recommended approaches and practices
Create a collaborative environment where different of option is valued and encouraged
Provide guidance and mentor team members
Keep up with current with data trends and technological innovations
Execute on POC's with new technologies, drive innovation, and new ideas
Other duties as assigned

Requirements
Bachelor's degree in Computer Science or related discipline or equivalent field
10+ years of direct experience using databases, including Oracle, MySQL, SQL Server, or Redshift
10+ years of hands-on experience developing with SQL, PL/SQL, SSIS, SSAS (Tabular), Power BI
10+ years of Cloud architecture experience, preferably in AWS (Azure or Google will also be considered) with expertise in Python, Pyspark, Glue, Athena, Lamdas and Step Functions
Strong experience in Power Automate Architecture
Ability and experience in leading teams
Strong experience with business intelligence and data warehousing design principles and industry best practices including multi-dimensional modelling (star schemas, snowflakes, de-normalized models, handling -slow-changing- dimensions)
Experience with automation using but not limited to Java, C#, Python, Pyspark
Strong understanding data modeling (i.e. conceptual, logical and physical model design, experience with Operation Data Stores, Enterprise Data warehouses and Data Marts)
Expert knowledge on T-SQL/DAX, Python, and microservice/cloud architectures/pipelines
Knowledge of modern development techniques: Agile (Scrum, Kanban)
Effective problem-solving and analytical skills; Ability to manage and prioritize multiple projects and report simultaneously across different stakeholders
Strong communication skills, both verbally, and written
Strong work ethic and ability to work in a dynamic environment
Empathetic leader with leadership skills
Ability to learn and apply new technologies to business problems
Ability to learn and adapt quickly to changing data landscape
Ability to work on multiple projects and tasks with overlapping time frames and facilitate construction of 90-day forecast