DataOps Engineer (WY)

Cedent; Ohio; On-site; USD 80,000 - 100,000; Full time

Job summary

A tech solutions provider in Ohio is seeking a Data Solutions Engineer for a contract position. The candidate should have a Bachelor's degree in Computer Science, experience with data streaming technologies like Kafka, and strong database querying skills. This role emphasizes teamwork and problem-solving to develop data-driven solutions that meet evolving business needs, leveraging a range of technologies including Python and Kubernetes.

Qualifications

• 4 years related experience or equivalent.
• 2+ years in data streaming technologies.
• Experience with designing databases.
• Ability to work in teams and document requirements.

Responsibilities

• Develop data-driven solutions using current technologies.
• Collaborate to clarify requirements and solve problems.
• Normalize data sources for efficient software use.

Skills

Data streaming technologies

ETL concepts

Database querying

Team collaboration

Problem-solving

Education

Bachelor's degree in Computer Science or related field

Tools

Kafka

MySQL

MS SQL

Oracle SQL

Hadoop

Python

Docker

Kubernetes

Gitlab

Job description

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical degree; four years related experience; or equivalent combination of education and experience
• 2+ years experience in data streaming technologies, such as Kafka
• 2+ years experience using ETL (Extract, Transform, and Load) concepts
• Experience with querying and designing databases using one or more of the following: MySQL, MS SQL, Oracle SQL, or other professional database system
• Ability to work in teams and collaborate with others to clarify requirements, quickly identify problems, and collaboratively find creative solutions
• Ability to assist in documenting requirements as well as resolve conflicts or ambiguities

Nice to Have Skills

• 4 or more years experience in programming using one or more of the following: Java, C++, Perl, Python, or advanced Shell scripting.
• 3 or more years of experience in implementing data-driven solutions using tools such as Hadoop, Impala, Hive, NiFi, Athena, Redshift, BigTable, or Airflow.
• 2 or more years experience in machine learning and statistical modeling
• Experience in Cloud Native tools, such as Kubernetes and Docker
• Experience with using the R statistical computing language
• Experience with Agile at Scale, SAFe, and Lean Systems Engineering
• Develop high-volume, low-latency, data-driven solutions utilizing current and next generation technologies to meet evolving business needs
• Acquire big data input from numerous partners. Key technologies may include Python, Airflow, Prometheus, and Kafka.
• Normalize complicated data sources to convert potentially unusable data into a format that can be efficiently used by software and/or employees. Key technologies may include Spark, Kinesis, Lambda
• Build a CI/CD pipeline for our data software to ensure we keep quality high and time to market low. Key technologies may include Gitlab.

Department: Preferred Vendors
This is a contract position