Data Engineer – Level 3

Job Title

Data Engineer - Level 3

Cincinnati, OH

$120,000 - $130,000 + Bonus

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.

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.

Contact:
Jonathan Juriga –

• 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 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.

• Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering or 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 preference to GCP.
• Advanced understanding of technical environment, including technical area development and architecture of SAP.

• Master’s degree in Statistics, Mathematics, Data Science, Engineering or related quantitative field with 3 years of experience in Information Technology.
• Exposure to SQL, Python, Big Query, Cloud Composer, Cloud Pub/Sub.
• Reporting and data analytics experience, including 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.
• Experience with CI/CD pipelines using code repositories like Gitlab, Git Hub and deployment tools like Cloud Build or Gitlab Runners.
• Experience with any cloud platforms such as GCP, Azure, AWS, etc. with preference to GCP.
• Understanding of technical environment, including technical area development and architecture of SAP.
• Experience in medallion architecture with 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.

• Mid‑Senior level

• Full‑time

• Information Technology
• Staffing and Recruiting

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