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QUALIFICATIONS/REQUIREMENTS:
- B.S. or B.A. degree in Engineering, Computer Science, or equivalent work experience.
- 5 or more years of experience building processes that support data transformation, data structures, metadata, dependency and workload management.
- Advanced SQL knowledge and at least 5 years of experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- At least 5 years of experience writing and optimizing queries.
- A successful history of manipulating and processing large disconnected datasets.
- Experience with multiple database technologies: SQL Server, MySQL, PostgreSQL, AWS (RedShift, ElasticSearch)
- Experience processing large data sets of unstructured and structured data.
- Experience with object-oriented/object function scripting languages: Python, R, Java, C++, Scala, etc.
- Experience implementing and documenting data models and schema for new database structures and applications and implement measures to ensure data accuracy and accessibility.
- Effective verbal and written communication skills.
- Demonstrated understanding of technology and value to business.
- Exceptional problem-solving skills.
- Regular and reliable attendance and punctuality is an essential function of this position
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DUTIES/RESPONSIBILITIES:
- Transform data into a format that can be easily analyzed, ensuring system scalability, security, performance and reliability
- Build high-performance ETL processes, algorithms, prototypes for data modeling, mining, and production.
- Develop data set processes for data modeling, mining and production.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Integrate new data management technologies and software engineering tools into existing structures
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
- Maintain proper documentation and adhere to change management processes as well as ongoing performance of quality assurance on all business-impacting processes
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Kansas City Life Insurance Company
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ATTN: Human Resources Department
3520 Broadway
P.O. Box 219139
Kansas City, MO 64121-9139
EOE/MFVH
e-mail:[email protected]
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