Senior Analyst

Geval6; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Geval6 is seeking an Azure Cloud Engineer/Senior Analyst to join its business intelligence team. You will work on Fabric, PowerBI, and Azure data platforms, building datasets, visuals, and data pipelines across on-prem and cloud environments.

The role requires strong data engineering, modeling, and SDLC knowledge; Agile/Scrum experience and stakeholder engagement are essential for success.

Qualifications

• 5+ years in BI, data engineering, or related roles.
• Hands-on Spark, PySpark, Spark SQL; Azure applications
• Experience with Fabric workload operations
• Strong data analysis, visualization and reporting skills
• Familiarity with SDLC, incidents, changes; Agile/Scrum

Responsibilities

• Fabric, PowerBI migrations, and related support tasks.
• Understand designs and data stores on Azure.
• Handle incidents and problem management in Fabric, PowerBI, and Azure big data tools.
• Gather and process raw data at scale to meet requirements.
• Maintain ADLS operations and data governance across Azure.
• Analyze costs and optimize Azure resources for BI landscape.
• Collaborate with developers, analysts, and data scientists on data initiatives.

Skills

Azure Cloud

Power BI

PySpark

Azure Fabric

Data Visualization

Data Modeling

Data Warehousing

Databricks

Tools

Talend

Jira

Azure Data Factory

Azure Synapse

Job description

Role & responsibilities

Job Description:

Clients 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 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, Incident, Problem, Change management 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 & operational support, 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.
• Responsible for maintaining ADLS operations.
• Responsible for enforcement of governance & security across MS Fabric and Azure landscape.
• Responsible for cost analysis and optimization of Azure resources used in BI Landscape and for designing governance solutions to make sure that the resources are used in an optimal and cost-effective manner.
• Responsible for supporting our Software Developers, Data Analysts and Data Scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.