Data Engineering Manager

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.