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Job summary
A technology solutions provider is seeking a skilled Data Engineer to design and maintain scalable data pipelines using Databricks and Python. The role involves optimizing ETL/ELT processes for complex datasets and collaborating with various stakeholders to ensure data quality and reliability. Candidates should possess strong experience in Data Engineering, hands-on expertise in Databricks, and a solid understanding of data modeling. This position is fully onsite in Columbus, Ohio.
Qualifications
Strong experience as a Data Engineer.
Hands-on expertise with Databricks.
Experience with Spark and distributed data processing.
Solid understanding of data modeling and data warehousing concepts.
Experience working in enterprise environments.
Responsibilities
Design, build, and maintain scalable data pipelines using Databricks and Python.
Develop and optimize ETL/ELT processes for large, complex datasets.
Work with structured and semi-structured data from multiple sources.
Collaborate with data architects, analysts, and stakeholders to deliver data solutions.
Ensure data quality, performance, and reliability across pipelines.
Support production deployments, monitoring, and issue resolution.
Follow best practices for data engineering, security, and compliance standards.
Skills
Data Engineering
Databricks
Python
ETL/ELT processes
Data modeling
Spark
Tools
Databricks
Spark
Job description
A technology solutions provider is seeking a skilled Data Engineer to design and maintain scalable data pipelines using Databricks and Python. The role involves optimizing ETL/ELT processes for complex datasets and collaborating with various stakeholders to ensure data quality and reliability. Candidates should possess strong experience in Data Engineering, hands-on expertise in Databricks, and a solid understanding of data modeling. This position is fully onsite in Columbus, Ohio.