Azure Cloud Engineer/Senior Analyst - 2272

Job Summary

Job Description

Azure Cloud Engineer/Senior Analyst

About Medline

Medline is America's largest privately held national manufacturer and distributor of health care supplies and services. Today, Medline manufactures and distributes more than 550,000 medical products, encompassing medical-surgical items and one of the largest textile lines in the industry. With 17 manufacturing facilities worldwide and over 25 joint venture manufacturing plants worldwide, along with 45 distribution centers in North America and 50 throughout the world, Medline posted $ 17 billion revenue last year.

Medline is ranked #27 in Forbes 2019 list of America’s private companies.

Medline Industries India Pvt. Ltd. is engaged in providing offshore business support services to Medline Industries Inc. & its global associate companies in the area of Information Services, Finance & Business processes Management. Medline Industries India Private Limited was setup in 2010 in Pune, India and today we are proud team of 700 plus associates supporting Medline’s healthcare vision across USA, Europe & other International regions.

Why join Medline

• A direct, full-time employment in a large, stable, rapidly growing and yet profitable company.
• Privately owned company with no public debts.
• No ill effects of recent downturn/recession.
• First-rate compensation and benefits package.
• Genuine individual growth potential in this new establishment.
• Open door and highly ethical work culture, with due accountability.

Location: Pune

Job Description

Medline India is seeking a highly skilled self-motivated Azure Cloud Engineer/Senior Analyst to join our business intelligence team.

This individual will be responsible for Fabric, PowerBI Developer with additional sound knowledge on building data pipelines, curation, integration and distribution of data across our on-prem and cloud landscape and building Power BI datasets and visualizations. We expect the candidate to have strong data engineering and data modeling knowledge.

Required Skills

• 5+ years of experience in Business Intelligence, Data & Report Engineering, or related roles.
• Hands on experience in Spark engineering, PySpark, Spark SQL, KQL, Spark performance optimization is expected from candidate.
• Hands-on experience in DevOps, CI/CD
• Good experience in applications hosted on Azure (Azure hands on Engineering applications is preferred)
• Candidate should have experience in Fabric workload Operations
• Excellent oral and written communication skills with ability to independently engage all stakeholders onsite and offshore
• Knowledge in Spark engineering - someone who has worked on data bricks, Fabric, Databricks, Spark application engineering.
• Skilled with data analysis, data visualization and reporting & analytics.
• Strong understanding of SDLC and engineering operations practices.
• Experience in Agile/Scrum methodologies and project management tools such as Jira.
• Strong prioritizing, interpersonal, problem-solving, task management (from conception to completion), & planning skills.
• Certifications in relevant BI and cloud technologies (preferably Azure) are a plus.

Desired Skills (Good To Have)

• Experience in Medallion architecture
• Knowledge in Microsoft Fabric, PowerBI, Azure services including Microsoft Fabric, Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics.
• Key skills - Framework development, DataOps, Platform engineering & automation
• Candidate with experience in AI with Automation and Data agents
• Knowledge of Databricks
• Data modeling (Native HANA), TDV, SQL Scripting
• Experience of ETL tools, preferably Talend

Responsibilities

• Responsible for Fabric, PowerBI migrations, Support and Engineering tasks
• Understand design, relational and non-relational data stores on Azure.
• Responsible for problem, Incident management in Microsoft Fabric, PowerBI, Azure big data frameworks/tools: Azure Data Lake, Azure Data Factory, Azure Data Bricks, Synapse, SQL Server, HDInsight.
• Gather and process raw data at scale that meet functional / non-functional business requirements.
• Candidate should be able to present design, analyze problems and Issues and provide insights to leadership
• Responsible for developing data set processes for data modelin