Azure Cloud Engineer/Senior Analyst - 2272

Medline; Maharashtra; On-site; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Direct, full‑time employment in alarge

Privately owned company with no public

No ill effects of recent downturn/re/

First‑rate compensation and benefits

Genuine individual growth potential

Open door and ethical work culture

Job summary

Medline India is seeking an Azure Cloud Engineer/Senior Analyst to join the Business Intelligence team in Pune. You will work on fabric and Power BI development, build data pipelines, curate and distribute data across on‑prem and cloud platforms, and craft Power BI datasets and visualizations.

Experience in data engineering and data modeling is required. The role focuses on Azure data services, governance, and cost optimization, collaborating with developers, analysts, and data scientists to

Qualifications

• 5+ years of experience in BI, data & report engineering or related roles.
• Hands-on Spark engineering, PySpark, Spark SQL, KQL, and Spark performance optimization.
• Experience with DevOps and CI/CD practices.
• Strong experience with Azure-hosted applications and Fabric workloads.
• Excellent communication skills for onsite and offshore stakeholders.
• Knowledge of Databricks, Fabric, and Spark application engineering.
• Experience with data analysis, visualization, and reporting.
• Familiarity with SDLC and engineering operations.
• Experience with Agile/Scrum and Jira.
• Certifications in BI and cloud technologies (Azure) are a plus.

Responsibilities

• Fabric and PowerBI migrations, support and engineering tasks.
• Design relational and non-relational data stores on Azure.
• Manage incidents in Fabric, PowerBI, and Azure data tools.
• Gather and process raw data at scale to meet requirements.
• Present designs and insights to leadership.
• Develop data set processes for modeling, mining, and production.
• Build Power BI datasets and visualizations.
• Maintain ADLS operations.
• Enforce governance and security across Fabric and Azure.
• Analyze and optimize cost of Azure resources.
• Collaborate with developers, analysts, and data scientists on data initiatives.
• Create analytics tools to provide actionable business insights.
• Develop complex SQL queries in Azure SQL.

Skills

Business Intelligence

Spark engineering

PySpark

Spark SQL

KQL

CI/CD

Azure engineering

Fabric operations

Databricks

Jira

Stakeholder engagement

Education

BE/BTech/MCA

Tools

Azure Data Lake

Azure Data Factory

Azure Databricks

Azure Synapse

SQL Server

HDInsight

Job description

Azure Cloud Engineer/Senior Analyst

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 and PowerBI development with additional knowledge on building data pipelines, curating, integrating, and distributing data across our on‑prem and cloud landscape, and building Power BI datasets and visualizations. Experience in data engineering and data modeling is required.

Location

Pune

Benefits

• Direct, full‑time employment in a large, stable, rapidly growing, and 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

Responsibilities

• Responsible for Fabric, PowerBI migrations, support and engineering tasks
• Understand design of relational and non‑relational data stores on Azure
• Manage incidents and problems in Microsoft Fabric, PowerBI, and Azure big‑data frameworks/tools (Azure Data Lake, Azure Data Factory, Azure Databricks, Synapse, SQL Server, HDInsight)
• Gather and process raw data at scale to meet functional and non‑functional business requirements
• Present design, analyze problems, provide insights to leadership
• Develop data set processes for data modeling, mining, and production
• Build reusable models using Power BI datasets and visualizations in Power BI
• Maintain ADLS operations
• Enforce governance & security across MS Fabric and Azure landscape
• Analyze and optimize cost of Azure resources used in the BI landscape and design governance solutions for optimal cost‑effective use
• Support software developers, data analysts, and data scientists on data initiatives and ensure consistent data delivery architecture throughout ongoing projects
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Develop complex SQL queries in Azure SQL

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, and Spark performance optimization
• Hands‑on experience in DevOps and CI/CD
• Good experience with applications hosted on Azure (applied Azure engineering preferred)
• Experience in Fabric workload operations
• Excellent oral and written communication skills with ability to engage stakeholders onsite and offshore independently
• Knowledge of Spark engineering – experience with Databricks, Fabric, and 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 prioritization, interpersonal, problem‑solving, task management, and planning skills
• Certifications in relevant BI and cloud technologies (preferably Azure) are a plus

Desired Skills (Good To Have)

• Experience in Medallion architecture
• Knowledge of Microsoft Fabric, PowerBI, and Azure services including Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics
• Framework development, DataOps, platform engineering, and automation skills
• Experience with AI, automation, and data agents
• Knowledge of Databricks
• Data modeling (Native HANA), TDV, SQL scripting
• Experience with ETL tools, preferably Talend

Education

• IT Graduate (BE, BTech, MCA) preferred
• Experience working in a captive environment is a plus