Data Engineer

Company Description

WireCo® is the strength behind the world’s evolution, through deep legacy and forward thinking. We create premium ropes that inspire innovation without limits. WireCo® is headquartered in Prairie Village, Kansas with manufacturing plants, distribution facilities and research and development centers worldwide.

WireCo® offers a competitive compensation and benefits package, including salary plus bonus program, paid time off, paid holidays, medical, dental and vision insurance, 401(k) retirement plan with a generous company match, 100% company-paid life insurance, and 100% company-paid disability insurance.

For more information, check out our website at www.wireco.com and the following videos:

• https://youtu.be/zzplYW7PMFg
• https://www.youtube.com/watch?v=6CJwd_yXZAY

Job Description

The Global IT group is seeking a Data Engineer to join its team in the Kansas City area.  This person will report to the Data Governance Manager and will have responsibility for improving the quality of data and be instrumental in the migration to a modern data stack.

The Data Engineer’s role is to assist the data team by working closely with the Data Architect finding patterns in the current infrastructure and make recommendation for improvements.  The Data Engineer will identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery and automating manual processes.

This role will be part of the Global Information Systems team and will have a strong collaboration with the business operations, accounting, sales and marketing teams. This role will be responsible for ensuring our account master data is clean, scalable and trusted.

The Data Engineer must exhibit the behaviors of the WireCo Business System (WBS):

• Teamwork - welcomes an environment of inclusiveness and healthy debate that reflects our team’s strength
• Accountable – celebrates our successes, learn from failures, avoid excuses, and own the outcomes of our efforts
• Self-Aware – demonstrates an understanding of our strengths and needs, considering how our actions impact others
• Noble Intent – acts in the interests of others, approaching our work with integrity to ensure the best outcome
• Determined – takes initiative, share ideas and find solutions to win and achieve our goals
• Transparent – promotes open and honest communication and constructive feedback for clarity and truth
• Curious – seeks knowledge and outside input to test our way of thinking, challenging the status quo

Duties & Responsibilities

• Work closely with the Data Architect to develop, test and maintain data pipelines and data architecture
• Collect, manage and transform raw data into formats that can be used by business units
• Develop and construct data products and services to integrate into systems and business processes
• Facilitate the development and implementation of data quality standards, data protection standards and adoption requirements across the enterprise
• Work with the team to aggregate large ERP data sets for use within a Data Warehouse solution
• Identify and translate key business requirements into solutions

Qualifications

Required Qualifications

• Develop, design, and optimize complex SQL queries
• Extensive experience working hands-on with data supporting Business Intelligence (BI) systems in a BI or ETL Developer role
• Expertise with at least one of the following database technologies and familiarity with the others: relational, columnar and NoSQL (i.e. DB2, MySQL, Oracle, MSSQL, Vertica, MongoDB)
• Understanding of data modelling (i.e. conceptual, logical and physical model design - with both traditional 3rd normal form as well as dimensional modelling, such as star and snowflake)
• BA/BS in Mathematics, Statistics, IT, Business Intelligence or other technical degree required 
• 3-5 years of Database or Data Engineering experience required. Experience in a manufacturing environment a plus.

Preferred Qualifications

• Advanced knowledge of data pipelines into cloud environments (Fivetran, Qlik Replicate/Attunity, Informatica or Talend)
• Experience with Snowflake and dbt
• Experience with iPaaS tools
• Experience with scripting technologies (SQL, Python, R, etc.).
• Experience with a wide variety of business data (Marketing, Finance, Operations, etc.)
• Experience with Large ERP systems (Oracle JD Edwards Enterprise One, QAD, Info LM, Sage, etc)
• Additional language skills would be advantageous but not essential (e.g. German, Spanish, Portuguese)

Additional Information

• Must be legally authorized to work in the United States without restriction.
• Must be willing to submit to a background investigation, including verification of past employment, criminal history and educational background. 
• Must be willing and able to pass a post-offer drug screen and physical (if required)
• Must be 18 years of age or older.
• Equal Opportunity Employer/Veterans/Disability