Data Engineer III

This range is provided by Vernovis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

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Compensation: $120,000 - $130,000 + Bonus

Who we are:

Vernovis is a Total Talent Solutions company that specializes in Technology, Cybersecurity, Finance & Accounting functions. At Vernovis, we help these professionals achieve their career goals, matching them with innovative projects and dynamic direct hire opportunities in Ohio and across the Midwest.

Client Overview:

Vernovis is partnering with a local Fortune 500 company to help identify talented Data Professionals for their growing Data Team. This is a great opportunity to join a well-established local company and help them transform their business.

If interested, please contact Jonathon Juriga at

What You'll Do:

• Working on data engineering pipelines, data modelling, analytics and supporting complex issues.
• Identify data acquisition strategies, design, and develop programs to acquire data into Data Lake/Data Warehouse
• Work with data team to efficiently use the Google Cloud platform to analyze data, build data models and generate reports/visualizations
• Script Procedures to stage large amounts of input and output data in Data Lake; participate in software development life cycle (SDLC) tasks like status reporting, design reviews and approvals, detailed functional and technical documentation, migration of artifacts to production.

What Experience You'll Have:

• Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering or a related quantitative field
• Minimum 5 years of experience in Information Technology, including experience with SQL, Python, Big Query, Cloud Composer, Cloud Pub/Sub
• Minimum 5 years of experience in building and operationalizing large-scale enterprise data solutions and applications, with the ability to build production data pipelines from data ingestion to consumption within a hybrid big data architecture.
• Minimum 4 years of experience working with CI/CD pipelines using Code repositories like Gitlab, Git Hub, etc. and deployment tools like Cloud Build or Gitlab Runners.
• Minimum 3 years of combined experience in PySpark, Cloud Dataproc, Cloud Dataflow, Terraform, Hadoop, Hive, Apache Spark, Cloud Spanner, Cloud SQL and Data Fusion.
• Minimum 1 year of experience in Reporting, Data Analytics and building data pipelines
• Experience in any cloud platforms such as GCP, Azure, AWS, with a preference to GCP.
• Advanced understanding of the technical environment, including technical area development and the architecture of SAP.

What Experience is Nice to Have:

• Master’s degree in Statistics, Mathematics, Data Science, Engineering or related quantitative field with 3 years of experience in Information Technology, including exposure to:
• Reporting and data analytics, such as building and operationalizing large-scale enterprise data solutions and applications, building production data pipelines from data ingestion to consumption within a hybrid big data architecture
• Working with CI/CD pipelines using Code repositories like Gitlab, Git Hub, and deployment tools like Cloud Build or Gitlab Runners
• Experience in any cloud platforms such as GCP, Azure, AWS, etc., with a preference to GCP
• Understanding of the technical environment, including technical area development and the architecture of SAP
• Experience in medallion architecture with the Google Cortex framework
• Experience with containerization technologies like Docker or Kubernetes
• Experience in PySpark, Cloud Dataproc, Cloud Dataflow, Terraform, Hadoop, Hive, Apache Spark, Cloud Spanner, Cloud SQL, and Data Fusion

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Full-time

• Job function
  
  Information Technology
• Industries Staffing and Recruiting and Manufacturing

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