A technology company is demanding a skilled Data Engineer to design and manage complex data activities using Databricks and Python. With responsibilities including the architecture of ETL/ELT workflows, development of scalable data pipelines, and ensuring data quality, the ideal candidate should possess robust SQL skills and experience in cloud platforms like AWS, Azure, or GCP. Opportunities for substantial growth await in this dynamic work environment.
Qualifications
Strong expertise in Databricks, Python, and database engineering.
Ability to design and optimize scalable data pipelines.
Experience in data quality and advanced analytics initiatives.
Responsibilities
Design, build, and maintain ETL/ELT workflows on Databricks.
Develop data pipelines using Python and Spark.
Implement data quality and monitoring frameworks.
Collaborate with Data Scientists and Analysts.
Skills
Database Engineering
Strong SQL
Cloud Platforms (AWS/Azure/GCP)
ETL/ELT tools
Experience with large-scale datasets
Job description
A technology company is demanding a skilled Data Engineer to design and manage complex data activities using Databricks and Python. With responsibilities including the architecture of ETL/ELT workflows, development of scalable data pipelines, and ensuring data quality, the ideal candidate should possess robust SQL skills and experience in cloud platforms like AWS, Azure, or GCP. Opportunities for substantial growth await in this dynamic work environment.