Responsibilities:
- Be an integral part of large-scale client business development and delivery engagements
- Develop the software and systems needed for end-to-end execution on large projects
- Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions
- Build the knowledge base required to deliver increasingly complex technology projects
Qualifications & Experience
- A bachelor’s degree in Computer Science or related field with 5-10 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
- Expertise in relational and dimensional modelling, including big data technologies
- Exposure across all the SDLC process, including testing and deployment
- Expertise in Microsoft Azure is mandatory including components like Azure DataBricks Azure Data Factory, Azure Data Lake Storage, Azure SQL, 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 Dev Ops 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