In-depth knowledge and hands-on experience in designing solutions in Azure/Databricks services.Knowledge and experience in Databricks with Pyspark.Experience in designing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions.Experience in creating Process Control Frameworks on Azure and integrating with orchestration utilities.Must have experience in on-premise data warehouse migration to Azure/Databricks.Design and solutioning of DevOps/DataOps in Azure.Good to have skills:Experience with any scripting languages, preferably Python.Experience with CI/CD.Experience in working on Agile projects.Experience with analytical tools (Tableau, Alteryx, etc.)
and integrating them to Azure.Domain: TelecomRole & Responsibilities:You will be aligned with our Data & Analytics practice; responsible for designing solutions using Azure services and tools.This role needs you to participate in customer meetings or workshops.Work on proposals, RFIs/RFPs, execute PoCs, and pilot projects for customers.You are expected to contribute to D&A practice in building the capabilities in new age tools and technologies.You are expected to evaluate domain, financial, and technical feasibility of solution ideas with the help of all key stakeholders.You are expected to liaise with product vendors on architectural matters.Qualifications:Engineering graduates in Computer Science background preferred.Ability to hold dialogue with a client's business and technical stakeholders.Excellent verbal, written, and presentation skills.Ability to present & defend a solution with technical facts & business proficiency.
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