What makes Fractal a GREAT fit for you? When you join Fractal, you'll be part of a fast-growing team that helps our clients leverage AI together with the power of behavioural sciences to make better decisions. We're a strategic analytics partner to the most admired Fortune 500 companies globally. We help them power every human decision in the enterprise by bringing analytics, AI and behavioural science to the decision.
Role Brief: If you are an extraordinary developer and loves to push the boundaries to solve complex business problems using creative solutions, we wish to talk with you. As an Analytics Technology Engineer, you will work on the Technology team to deliver our Data Engineering offerings at a large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services.
Design and develop data models to support Viz consultants
Be an integral part of large-scale client business development and delivery engagements
Develop the data pipeline needed for end-to-end execution on the dashboarding projects
Understand the business requirements/ questions to be answered
Align on KPIs and data sources to be used
Help define and stage data as required to support and build the visualizations
Work with IT/Data team closely to perform data extraction and data transformation processes to create the data set required for the dashboard
Scale, maintain and improve existing solutions
Understand and conceptualize ways to automate the refresh of dashboards
Perform scripting & data transformations to make data in a format that can be easily scaled across different products or processes
Migrating solutions to the production environment
Modify the processes (if required) to ensure they are set-up correctly to enable refresh of the dashboard at aligned intervals in the production environment
Prepare holistic documentation (process and technical) to allow proper knowledge transfer of both process and solution to the production team
Support and consult the production team if required
Strong experience in System Integration, Application Development or Data-Warehouse projects across technologies used in the enterprise space
Database programming using any flavours of SQL
Expertise in relational and dimensional modelling, including big data technologies
Expertise in Microsoft Azure is mandatory, including 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
B.E/B.Tech or Masters in Computers/Big Data with 3 -5 years of experience