Job Details

ID #44935181
State Missouri
City Kansas city
Job type Permanent
Salary USD $70,000 - $125,000 70000 - 125000
Source AMS Staffing Inc.
Showed 2022-08-17
Date 2022-08-16
Deadline 2022-10-15
Category Et cetera
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Data Engineer

Missouri, Kansas city, 64111 Kansas city USA

Vacancy expired!

Please send resume in Word format if you are interested in this Data Engineer opportunity with our client located in Kansas City, MO 64111. The salary is in the $70K-$125K range plus excellent benefits. If you are not interested please pass onto colleagues and associates as we offer referral bonuses.

QUALIFICATIONS/REQUIREMENTS:
  • B.S. or B.A. degree in Engineering, Computer Science, or equivalent work experience.
  • At least 5 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.

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
#theamsway#amsstaffing

Vacancy expired!

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