About:

• Location: Lewis Center, OH

• Contract: 6 months

The Role:

• Strong experience in Databricks.

• Expertise implementing batch and real time data process solutions using Azure Data Lake storage, Azure Data Factory and Databricks.

• Experience in built ETL pipelines for ingesting, transforming and loading data from multiple sources into Cloud data warehouses.

• Proficient in Docker for containerization, utilizing REST API in Python for seamless system integration, and applying containerization concepts to improve deployment efficiency and scalability.

• Experience in data extraction, data acquisition, transformation, data manipulation, performance tuning and data analysis.

• Experience in Python libraries to build efficient data processing workflows and streamline ETL operations across large data sets and similar distributed systems.

• Expertise in automating data quality checks, reducing data errors by 40% and ensuring more reliable reporting and analytics with data marts.

• Expertise in data orchestration and automation tools such as Apache Airflow, Python, and PySpark, supporting end- to-end ETL workflows.

• Experience in deployment activities.

Must Have:

• Bachelor’s degree and 10+ years of relevant experience required.

• Strong experience in Databricks.

• Expertise implementing batch and real time data process solutions using Azure Data Lake storage, Azure Data Factor and Databricks.

• Experience in built ETL pipelines for ingesting, transforming and loading data from multiple sources into Cloud data warehouses.

• Proficient in Docker for containerization, utilizing REST API in Python for seamless system integration, and applying containerization concepts to improve deployment efficiency and scalability.

• Experience in data extraction, data acquisition, transformation, data manipulation, performance tuning and data analysis.

• Experience in Python libraries to build efficient data processing workflows and streamline ETL operations across large data sets and similar distributed systems.

• Expertise in automating data quality checks, reducing data errors by 40% and ensuring more reliable reporting and analytics with data marts.

• Expertise in data orchestration and automation tools such as Apache Airflow, Python, and PySpark, supporting end- to-end ETL workflows.

• Experience in deployment activities.