Vacancy expired!
- Leading the data engineer group on technology, processes to provides technical expertise to design, develop and maintain the data operations platforms.
- In addition, provides lead role for day-to-day functional tasks in the team, developer support and maintaining the development environment.
- Designing and develop enterprise infrastructure and platforms required for data engineering using Spark, Python, Azure cloud technologies that includes Azure Data Factory, Databricks, Synapse Analytics, SQL/Cosmos databases etc.
- Work with the team in test and implement data environments with high analyzing skills.
- Assist the management team on executing the project road maps, priorities and adopt to DevOps culture.
- 8 years minimum related work experience; with previous experience in leading a technology team
- Bachelor's degree in Computer Engineering / related field or equivalent industry experience
- Experience developing, debugging, and maintaining code in Spark, Python
- Deep knowledge in SQL Server databases is strongly preferred
- Deep knowledge in data analysis, data integrations is preferred
- Proficiency in NoSQL (Cosmos DB) is preferred
- Experience in cloud services (Azure) is preferred
- Experience in Azure cloud services (Synapse Analytics, Data Factory) is preferred
- Experience in any of the following areas would be a plus, e.g., ETL, data integration, Data analysis
- Experience working in a shared service, hybrid environments
- Ability to work creatively and analytically in meeting team needs
- Ability to ramp up quickly in an evolving and challenging role
- Well-honed troubleshooting skills at various levels of complexity
- Craving and solving difficult problems
- Taking calculated risks
- Being bold and resilient
- Team player
- Embracing diversity of thought to drive enriched client experiences
Vacancy expired!