As a Data Engineer, you will innovate and maintain technology services, develop software systems for large projects, and work across all SDLC phases.
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As a Data Engineer -Azure, you will work in the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services.
Experience reqd - 5-10 years
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
- Team handling, problem solving, project management and communication skills & creative thinking
QUALIFICATIONS:
- A bachelor’s degree in Computer Science or related field with 6-12 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 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 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 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
- 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
- GenAI - added advantage
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Top Skills
Azure
Azure Data Factory
Azure Data Lake Storage
Azure Databricks
Azure Sql
Hd Insights
Ml Service
Pyspark
Python
SQL
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