Job Details

Data Engineer (4168-1) Columbus, OH

Skills required include:

1. Strong experience in Databricks
2. Implementing batch and real-time data processing solutions using Azure Data Lake storage, Azure Data Factory, and Databricks
3. Building ETL pipelines for ingesting, transforming, and loading data from multiple sources into cloud data warehouses
4. Proficiency in Docker for containerization
5. Utilizing REST API in Python for system integration
6. Experience in data extraction, acquisition, transformation, manipulation, performance tuning, and data analysis
7. Using Python libraries to build efficient data workflows and streamline ETL operations across large datasets
8. Automating data quality checks to reduce errors and improve reporting reliability
9. Expertise in data orchestration and automation tools such as Apache Airflow, Python, and PySpark
10. Experience in deployment activities

Experience level: Mid-senior

Experience required: 10 Years

Education level: Bachelor's degree

Job function: Information Technology

Industry: Information Technology and Services

Pay rate: View hourly pay rate

Total positions: 1

Relocation assistance: No

Visa sponsorship eligibility: No

This job is active and accepting applications.