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Data Engineering Manager Kaizen Analytix. . Data Engineering Manager. : Contractor. . Kaizen Analytix LLC, an analytics consulting services and product firm that gives clients unmatched speed to value through analytics solutions and actionable business insights, is seeking candidates for a Data Engineering Manager to join our team.. . As a Data Engineering Manager, you will be expected to work independently, schedule meetings with SMEs and Vendors, collect requirements, perform data mapping to warehouse, schedule & coordinate development, hands on prototyping, ad hoc process of data files and transform them into structured data that can be ingested on a production basis. The ideal candidate will have a strong background in managing teams, vendors, data engineering, including experience with SQL Server, . ETL. processes, data modeling, and cloud platforms.. . Responsibilities:. . . . Work with data SME’s and data architects to create end user friendly data models to support data warehouse setup.. . Works closely with Vendors, customers, and colleagues to identify opportunities to utilize information systems to improve business processes, promote the strategic use of information while enabling seamless access to information.. . Interacts with the staff to produce data mapping and requirements, deliver high quality solutions utilizing Microsoft BI tools.. . Provides prototyping solutions, prepares test scripts, and conducts tests and for data replication, extraction, loading, cleansing, and data modeling.. . Possesses working knowledge of Relational Database Management Systems (DBMS) and data warehouse front-end tools.. . Be proficient in creating and maintaining data structures and store procedures.. . Works closely with the technical and business team lead to drive solution options analysis, development, and implementation of BI solutions.. . Contributing team member to the design and support of data architecture, database design and integration, transformations, and load processes.. . . Job Requirements:. . Bachelor’s or master’s degree in computer science, engineering, or a related field.. 10+ years in Data Engineering – consuming, wrangling, validating, developing pipelines for data.. 5+ years of experience working with Python and Pandas.. 5+ years of Experience working with SQL.. 3-5 years of Experience with managing vendors, engineering/development team. Familiarity with the basic principles of distributed computing and data modeling.. Excellent problem-solving and analytical skills, with the ability to troubleshoot complex data issues and optimize data processes.. Experience with object-oriented design and coding and testing patterns, including experience with engineering software platforms and data infrastructures.. Working experience with Dimensional Modeling.. Working experience with Snowflake and SQLServer is a must.. Working experience with Typescript/Javascript is a plus.. Working experience with Alteryx is a plus.. WebApp development experience is a plus. Strong written and verbal communication skills.. Be open to receiving constructive feedback.. Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts.. .