Data Engineer Columbus, OH Databricks, ETL pipelines, Docker hold

Data Engineer (4168-1) Columbus, OH Skills required include: Strong experience in Databricks Implementing batch and real-time data processing solutions using Azure Data Lake storage, Azure Data Factory, and Databricks Building ETL pipelines for ingesting, transforming, and loading data from multiple sources into cloud data warehouses Proficiency in Docker for containerization Utilizing REST API in Python for system integration Experience in data extraction, acquisition, transformation, manipulation, performance tuning, and data analysis Using Python libraries to build efficient data workflows and streamline ETL operations across large datasets Automating data quality checks to reduce errors and improve reporting reliability Expertise in data orchestration and automation tools such as Apache Airflow, Python, and PySpark Experience in deployment activities Experience level: Mid-senior Experience required: 10 Years Education level: Bachelors 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. #J-18808-Ljbffr