Position: Data Engineer
Location: Oklahoma City, OK
Duration: 6+ Months
Qualifications
The successful candidate will have a minimum of four (4) years of relevant work experience in analytics, data engineering, business intelligence or related field with a proven track record of building solutions on next generation data platforms.
Additional specific qualifications include:
Experience architecting, implementing and successfully operationalizing large scale data solutions in production environments using Hadoop and NoSQL ecosystem on premise or on Cloud (AWS, Google or Azure) using many of the relevant technologies such as Nifi, Spark, Kafka, HBase, Hive, Cassandra, EMR, Kinesis, BigQuery, DataProc, Azure Data Lake, etc.
Experience building performant data models at scale for Hadoop/NoSQL ecosystem of data stores to support different business consumption patterns off a centralized data platform.
Experience creating data pipelines using Spark/MR/ETL processing, including Java, Python, Scala, Talend; Alteryx; for data analysis of production Big Data applications.
Experience industrializing data lakes or real-time platforms for an enterprise enabling business applications and usage at scale.
Experience designing and implementing relational data models working with RDBMS and understanding of the challenges in these environments.
Responsibilities
The candidate will work closely with other professionals within various departments to develop data solutions to support the business. Additional specific responsibilities include:
Act as a focal point for vetting requirements and prioritizing work streams for data solutions with business units and technology partners.
Ensure adherence to approach of using self-service data solutions to enable others to be successful in data wrangling, data blending, and data delivery via services.
Develop business data catalogs and data marketplaces on top of next generation data platforms.
Transition data storage to Cloud environments (Google or Azure).
Coordinate the build and maintenance of data pipelines and services for use by multiple business areas. The ability to also be “hands-on” is a must.
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
Explore and learn latest technologies to provide new capabilities to the business
Education
Bachelor’s degree in Computer Science, MIS, related technical field, or equivalent work experience.
Preferred Qualities:
Motivated self-starter
Meticulous detail oriented
Consistent
Tenacious
Ability to manage a project
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