
Cloud Data Architect
5 days ago
We are seeking a talented individual to join our team as a Data Engineer. As a key member of our organization, you will be responsible for designing and developing large-scale data systems that drive business growth and success.
Your primary focus will be on working closely with cross-functional teams to understand business needs and develop scalable solutions that meet those needs. You will have the opportunity to work on cutting-edge technologies and contribute to the development of innovative data-driven solutions.
In this role, you will be expected to collaborate with engineers, product managers, and other stakeholders to identify opportunities for improvement and implement changes that drive business results. Your expertise in data engineering will play a critical role in helping us achieve our goals and stay ahead of the competition.
Responsibilities:
- Design and develop large-scale data systems that meet business needs
- Work closely with cross-functional teams to understand business requirements and develop scalable solutions
- Collaborate with engineers, product managers, and other stakeholders to identify opportunities for improvement and implement changes
- Develop and maintain high-quality code that meets our technical standards
- Contribute to the development of innovative data-driven solutions that drive business growth and success
To be successful in this role, you will need to possess the following skills and qualifications:
- A bachelor's degree in Computer Science or related field with 6-10 years of technology experience
- Strong experience in system integration, application development, or data-warehouse projects, across technologies used in the enterprise space
- Software development experience using object-oriented languages (e.g., Python, PySpark) and frameworks
- Database programming using any flavors of SQL
- Expertise in relational and dimensional modeling, including big data technologies
- Exposure across all phases of the SDLC process, including testing and deployment
- Expertise in Microsoft Azure is mandatory, including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service, etc.
- Good knowledge of Python and Spark are required
- Good understanding of how to enable analytics using cloud technology and ML Ops
- Experience in Azure Infrastructure and Azure DevOps will be a strong plus
- Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure)
- Characteristics of a forward thinker and self-starter
- Ability to work with a global team of consulting professionals across multiple projects
- Knack for helping an organization to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and to help launch the build-out of those systems
- Passion for educating, training, designing, and building end-to-end systems for a diverse and challenging set of customers to success
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