Azure Data Engineer

Fractal Analytics is a strategic AI partner to Fortune 500 companies. The Azure Data Engineer role involves translating complex analytical requirements into technical designs, architecting solutions on the Azure platform, and delivering large-scale data management initiatives.

Responsibilities:

• Translate functional requirements into technical design
• Interact with clients and internal stakeholders to understand the data and platform requirements in detail and determine core Azure services needed to fulfil the technical design
• Architect on Azure platform to meet client specific functional and non-functional requirements
• Evaluate the current technology landscape and recommend a forward-looking, short, and long-term technology strategic vision
• Participate in the creation and sharing of best practices, technical content, and new reference architectures
• Preparing and answering RFPs, RFIs and RFQs
• Oversee design and solution architecture to ensure standards are followed, codebase is modular and scalable
• Estimate effort using a parametric estimation model and bring all stakeholders on-board about the overall schedule, and dependencies
• Design, Develop and Deliver data integration interfaces in ADF and Azure Databricks
• Design, Develop and Deliver data provisioning interfaces to fulfil consumption needs
• Deliver data models on Azure platform, it could be on Azure Cosmos, Snowflake, SQL DW / Synapse or SQL
• Advise clients on ML Engineering and deploying ML Ops at Scale on AKS
• Automate core activities to minimize the delivery lead times and improve the overall quality
• Optimize platform cost by selecting right platform services and architecting the solution in a cost-effective manner
• Deploy Azure DevOps and CI CD processes
• Deploy logging and monitoring across the different integration points for critical alerts

Requirements:

• 6-10 years of software development experience
• Translated complex analytical requirements into technical design including data models, ETLs and Dashboards / Reports
• Experience deploying dashboards and self-service analytics solutions on both relational and non-relational databases
• Dbt core or dbt cloud experience
• Data vault 2.0 implementation experience with automate_dv package
• Experience with different computing paradigms in databases such as In-Memory, Distributed, Massively Parallel Processing and Unity Catalog
• Successfully delivered large scale data management initiatives covering Plan, Design, Build and Deploy phases leveraging different delivery methodologies including Agile
• Strong knowledge of continuous integration, static code analysis and test-driven development
• Experience in delivering projects in a highly collaborative delivery model with teams at onsite and offshore
• Must have Excellent analytical and problem-solving skills
• Delivered change management initiatives focused on driving data platforms adoption across the enterprise
• Experience working on APIs
• Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations