Data Engineer
hace 4 semanas
BASF Digital Solutions S.L. is a leading digital innovation hub that develops cutting-edge solutions for the chemical industry. Our team is passionate about creating innovative customer experiences and driving business growth through data-driven insights.
Job DescriptionWe are seeking a highly motivated DataOps Engineer to join our team. As a DataOps Engineer, you will be responsible for developing and maintaining software and data pipelines using Python and Databricks. You will work closely with our data science team to understand their data needs and provide suitable solutions.
Responsibilities- Develop, analyze, improve, and test software to meet user and internal needs.
- Experience developing data pipelines, troubleshooting, and implementing data quality control measures to ensure data accuracy and consistency.
- Work in a cloud environment (Azure and Databricks).
- Collaborate with users and the data science team to understand their data needs and provide suitable solutions.
- Test new features and improvements and suggest their implementation if beneficial.
- Demonstrate fluent communication skills in English (spoken and written).
- Bachelor's degree in computer science, information technology, engineering, business, or related fields.
- Minimum 3-4 years related working experience as DataOps Engineer using Azure, Python, Azure Data Factory, and Databricks.
- Strong software engineering and development skills with Python and Git.
- Experience with Databricks and Azure's cloud environment.
- Experience with databases, data structures, and data manipulation.
- Experience in an Agile way of working with a DevOps mindset.
- Knowledge in automation and scripting with tools like Azure DevOps pipelines, etc.
- In-depth knowledge of Big Data concepts and Databricks.
- Team player with strong interpersonal, written, and verbal communication skills.
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