Data Engineer
hace 3 semanas
Essential job functions:
- Working with technology stakeholders to understand requirements and engage with team to design and deliver projects.
- Design and implement data lake house projects within azure.
- Participate in design and planning and necessary documentation
- Participate in Agile ceremonies including daily standups, scrum, retrospectives, demos, code reviews.
- Hands on with Python/SQL development and Azure data pipelines
- Engage with team to develop and deliver cross functional products
Other Responsabilities:
- Document and maintain project artifacts.
- Maintain comprehensive knowledge of industry standards, methodologies, processes, and best practices.
- Complete training as required for Privacy, Code of Conduct etc.
- Promptly report any known or suspected loss, theft or unauthorized disclosure or use of PI to the General Counsel/Chief Compliance Officer or Chief Information Officer.
- Adhere to the company's compliance program.
- Safeguard the company's intellectual property, information, and assets.
- Other duties as assigned.
Minimum Qualifications and Job Requirements:
- Bachelor's degree in CS, master's degree preferred.
- 10 years of hands-on experience in designing and developing distributed data pipelines.
- 5 years of hands-on experience in Azure data service technologies.
- 5 years of hands-on experience in Python, SQL, Object oriented programming, ETL and unit testing
- Experience with data integration with APIs, Web services, Queues
- Experience with Azure DevOps and CI/CD as well as agile tools and processes including JIRA, confluence
Key Skills:
- Data Engineering and SQL
- Python
- PySpark
- Azure Data lake/Synapse/Databricks
- CICD
- Strong communication
Tipo de puesto: Tiempo completo
Pregunta(s) de postulación:
- ¿Cuál es tu remuneración bruta pretendida?
Lugar de trabajo: Empleo presencial
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