Data Engineering Pipeline in , United States

Energy Jobline

United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.energyjobline.com

Tech stack

Agile Methodology Amazon Web Services Continuous Delivery Continuous Integration Information Engineering Machine Learning Software Engineering Parquet Apache Spark Pyspark Integration Frameworks Databricks

Requirements

Data Engineering Pipeline - 10+ Years Experience (Databricks, AWS, PySpark)Head Count: Columbus OH 43240Start Date: October 15, 2025Skills: Data Engineering pipeline and refined processing for Help (Databricks, AWS, Spark, PySpark).Qualifications, Capabilities, and Skills:Experience in data engineering, specifically with Databricks and AWS Glue.Hands-on practical experience delivering system design, application development, testing, and operational stability.Advanced proficiency in data processing frameworks and tools, including knowledge in Parquet and Iceberg.Proficiency in automation and continuous delivery methods.Proficient in all aspects of the Software Development Life Cycle.Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.Demonstrated proficiency in data applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).In-depth knowledge of the financial services industry and their IT systems.Practical cloud- experience. Qualifications, Capabilities, and Skills:Databricks Certification