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Senior Data Engineer

Job Title
Senior Data Engineer
Job ID
27044439
Location
Brighton,  MI 48114
Other Location
Description

Our History: From our start in 2009, Conexess has established itself in 3 markets, employing nearly 150+ individuals nation-wide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies, to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record.

Who We Are: Conexess is a full-service staffing firm offering contract, contract-to hire, and direct placements. We have a wide range of recruiting capabilities extending from help desk technicians to CIOs. We are also capable of offering project based work.

Senior Data Engineer

The data engineer will work on implementing complex data projects with a focus on collecting, parsing, managing, analyzing large sets of data to turn information into insights using multiple platforms. The Data Engineer will make the appropriate data accessible and available for use by the client. He or she should be able to decide on the needed hardware and software design needs and act according to the decisions. The data engineer should be able to develop prototypes and proof of concepts for the selected solutions. Some of the tools used will be Microsoft SQL Server, Alteryx Designer and Server, R, Microsoft PowerBI and Azure. The Data Engineer role requires creativity with a high attention to detail and drive for data accuracy. If you enjoy working within an agile team this may be a great role for you.

What You’ll Do: 

·         Ability to solve problems with data

·         Discovery of data across many different systems, data sources and data types

·         Have strong SQL querying skills

·         Ability to profile data to measure quality, integrity, accuracy, and completeness

·         Poses data preparation and blending for reporting and visualization purposes

·         Have experience with the cataloging of data sources

·         Hands-on experience on all aspects of data warehousing and schema

·         To be proficient in designing efficient and robust ETL workflows

·         Helping to streamline a better data supply chain for analytics that goes from experimentation into production

·         Working with cloud computing environments

·         Tune solutions to improve performance and end-user experience

·         Document requirements and resolve conflicts and clear ambiguities

·         Work in teams and collaborate with others

·         Contribute to group knowledge sharing platforms and best practice

·         Perform other duties and responsibilities as required or assigned 

KNOWLEDGE, SKILLS AND ABILITIES

·         High attention to data accuracy

·         Ability to work in an agile team

·         Critical thinking to ask questions, determine best course and offer solutions

·         Complete work independently

·         Act as a change agent

·         Continuous improvement mindset

·         Ability to understand the big picture

·         Effective analytical and decision-making skills

·         Strong interpersonal skills to build relationships and communicate effectively with managers, staff, and vendors

·         Strong written and verbal communication skills

·         Teamwork skills within the department and on project teams

·         Demonstrated ability to work effectively in a fast-paced, complex, and dynamic business environment

·         Effectively provide open and honest feedback via performance reviews and 1-1 conversation.

·         Enjoy being challenged and to solve complex problems on a daily basis

·         Proven ability to support a strong member/customer service culture

·         Demonstrated and dynamic analytical/problem solving skills

·         Proven effective communication and collaboration 

QUALIFICATIONS REQUIRED

·         BA/BS data analytics/computer science/information or similar degree is required

·         Four years job related experience is preferred

·         2+ years of data warehouse architecture experience is required

·         4+ years of hands-on experience writing SQL code is required

·         3+ years of experience building reporting semantic layers and BI dashboards is preferred

·         3+ years of hands-on ETL experience is required

·         1+ years SQL Server Integration Services is preferred

·         4+ years Microsoft SQL and/or Oracle querying is required

·         Experience with Microsoft Power BI, Alteryx Designer and Microsoft Azure preferred

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