Senior Data Engineer

3 hours ago


Bloomington, Illinois, United States Infinitive Full time
About Infinitive

Infinitive is a data and AI consultancy that enables its clients to modernize, monetize, and operationalize their data to create lasting and substantial value.

We possess deep industry and technology expertise to drive and sustain adoption of new capabilities.

We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.

Infinitive has been recognized as a top workplace by various publications, including Consulting Magazine, Washington Post, and Virginia Business.

About the Role

We are seeking a highly skilled Senior Data Engineer to join our dynamic team.

The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault).

As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency.

Responsibilities
  • Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other relevant technologies.
  • Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and Terraform to automate deployment, monitoring, and scaling of data infrastructure.
  • Develop and implement data models based on business requirements, including 3NF, Dimensional, and Data Vault models.
  • Identify and address performance bottlenecks in data pipelines and queries.
  • Implement data quality checks and monitoring processes to ensure data accuracy, completeness, and consistency.
  • Work closely with cross-functional teams to understand data requirements and deliver high-quality solutions.
  • Document data pipelines, infrastructure configurations, and data models.
  • Provide guidance and mentorship to junior team members.
Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related field.
  • Proven experience as a Data Engineer, preferably in a cloud-based environment.
  • Strong proficiency in Databricks for data processing and analytics.
  • Hands-on experience with DevOps tools such as Jenkins and Terraform for infrastructure automation.
  • In-depth knowledge of data modeling concepts including 3NF, Dimensional, and Data Vault.
  • Proficiency in SQL and programming languages such as Python or Scala.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.

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