Principal Architect Data Engineer 4
London
Applications have closed
Fractal
Fractal is a strategic analytics partner to global Fortune 500 companies & powers every human decision in the enterprise with AI, engineering & design.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.
Principal Architect_Data Engineer_4
Location; UK Any
Job Description:
Role Brief: 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 Lead Architect (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.
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 more than 17 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 Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc.
• Good knowledge of Python and Spark are required.
• Experience in ETL & ELT
• Good understanding of one scripting language
• 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.
• Good understanding of the CPG (Consumer Packaged Goods) domain is preferred.
• Education Qualification: B.Tech, BCA, MCA equivalent
Skills:
Data Ops, ML Ops,
Deep expertise in Azure Databricks , ETL frameworks.
xpertise 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 to Have:
Stakeholder Managment
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Big Data Computer Science Consulting Databricks DataOps ELT Engineering ETL Machine Learning PySpark Python SDLC Spark SQL Testing
Perks/benefits: Career development
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