Join a forward-thinking company as a Data Engineer, where you will leverage your skills in Databricks and Python to build robust ETL pipelines. This role offers an exciting opportunity to work with cutting-edge technologies like Azure Data Lake Storage and Docker, enabling you to drive data-driven decisions and enhance operational efficiency. As a key player in the data engineering team, you will contribute to automating processes and ensuring data integrity, making a significant impact on the organization’s analytics capabilities. If you are passionate about data and eager to innovate, this position is perfect for you.
Qualifications
10+ years of experience in data engineering with a focus on ETL processes.
Strong expertise in Databricks and Azure data solutions.
Responsibilities
Build and maintain ETL pipelines for data processing and integration.
Automate data quality checks and optimize data workflows.
Skills
Databricks
ETL pipelines
Docker
Python
Apache Airflow
PySpark
Education
Bachelor's degree
Tools
Azure Data Lake Storage
Azure Data Factory
Job description
Join a forward-thinking company as a Data Engineer, where you will leverage your skills in Databricks and Python to build robust ETL pipelines. This role offers an exciting opportunity to work with cutting-edge technologies like Azure Data Lake Storage and Docker, enabling you to drive data-driven decisions and enhance operational efficiency. As a key player in the data engineering team, you will contribute to automating processes and ensuring data integrity, making a significant impact on the organization’s analytics capabilities. If you are passionate about data and eager to innovate, this position is perfect for you.