Sr Azure Data Engineer/analyst

About Medline India:The candidate should easily be able to assimilate and visualize data like deployment stats, application and infra performance metrics along with business KPI reporting

Required Skills: Overall experience 8+ years in IT 6+ years of experience in Business Intelligence, Data Engineering and analytics, or related roles

Comfortable to maneuver through Azure cloud services and offerings

Hands-on experience with creating analytical models & dashboards in PowerBI and Tableau

Engineer & deploy Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake as and when required

Guide teams & propagate best practices in data engineering, data modeling and data integration to ensure the reliability, scalability, and performance of data solutions

Good data analytical skills to analyze data and understand requirements of application and business teams

Excellent knowledge experience in writing complex SQL and Kusto queries

Experience in Agile/Scrum methodologies and project management tools such as Jira

Provide expertise to teams leveraging BI tools and enable adoption of data analytics Strong prioritizing, interpersonal, problem-solving, task management (from conception to completion), & planning skills

Excellent oral and written communication skills with ability to independently engage all stakeholders at onsite and offshore Preferred Skills Data modeling (Native HANA), TDV, SQL Scripting Experience of ETL tools, preferably Talend & data Factory Knowledge of Microsoft Fabric (preferred)

Certifications in relevant BI and cloud technologies (preferably Azure PL300) are a plus

Good knowledge of Logistics & SAP domainResponsibilities: Build analytics on Power BI & Tableau that utilize the data pipeline to provide actionable insights into operational efficiency and other key business/technical performance metrics

Identify, analyze, and interpret trends or patterns in complex data

Transform analyses into concrete, actionable recommendations to drive decision-making

Responsible for correlating multiple metrics to show dependency and impact of changes in KPI Responsible for development, update, upgrade and maintenance of analytical models and dashboards Gather and process raw data at scale that meet functional / non-functional business requirements (including writing scripts, REST API calls, SQL Queries, etc

) Responsible for developing data set processes for data modeling, mining etc Develop complex SQL queries as required to support the analytics models & associated dashboards

Exercise cost consciousness in data compute & storage usage Educational Qualification * Bachelor s / Master s degree in computer science or equivalent experience/ certification