Data Engineering Pipeline

Data Engineering Pipeline - 10+ Years experience (Databricks, AWS, PySpark)

Head Count : Columbus OH 43240

Start Date : October 15, 2025

Skills: 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-native experience. Preferred Qualifications, Capabilities, and Skills:

Databricks Certification

AWS Certification