8 - 10 Years
B-Tech
Rs.30 - 40 Lakh/Yr
📌 About Company
The company is a global provider of operations management and analytics services, with a focus on helping businesses optimize their processes and improve performance. It offers a range of industry-specific solutions, including finance and accounting, healthcare, insurance, analytics, and technology services.
The company's solutions are powered by advanced analytics, automation, and digital technologies to drive efficiencies and enhance customer experience. In 2021, the company generated over $3 billion in revenue, and its workforce comprises over 40,000 skilled professionals across multiple locations worldwide. The company is committed to fostering a culture of innovation and collaboration to deliver value for its clients and employees alike.
📌 Job Description
Looking for some with experience in Business Intelligence, who will Lead engagements in the Azure Data Solutions for data management & analytics- Design and manage the development of Azure data solutions for data modeling and warehousing, data integration and analytics.
- Implement Azure data services including Azure Synapse Analytics, Azure Data Factory, Azure Data Lake and the Microsoft Power Platform.
- Interact with various business groups to help define needs and translate into scalable , configurable, self service enabled data led solution
- Design and develop scalable data ingestion frameworks to transform a wide variety of datasets
- Research, analyze and help implement technical approaches for solving challenging and complex development and integration problems, providing a strategy and roadmap.
- To make and improve awareness among team members
📌 Experience & Skills
- 8+ years of experience with data engineering/data warehousing
- 2+ years real-world experience implementing Azure analytics platforms for client projects • Implementation experience in two or more of Azure Synapse Analytics, Azure SQL, Azure Data Factory, Azure Data Lake, Databricks and Cosmos DB.
- Strong knowledge of database, storage, collection and aggregation models, techniques and technologies and how to apply them in business.
- Good experience with SSIS, and experienced with Azure Data Factory
- Experience with Azure SDKs and programmatic access services
- Working experience with version control platforms
- Working knowledge of agile development including DevOps concepts
- Experience in gathering and analyzing system requirements
- Proven analytical skills and Problem-solving attitude
- Ability to effectively function in a cross-team environment
- Good to have familiarity with Power BI and Power Platform
- Good to have exposure to Cloud Data eco system
📌 Soft Skills
- Can-Do attitude
- Excellent time management skills with ability to prioritize the workload efficiently
- Ability to work for extended hours and give the extra mile
- Ability to retain and motivate team in challenging environment
- Excellent communication skills both written and verbal
- Eager to learn new technologies
- Enthusiastic and energetic
- Positive attitude
- Excellent communication skill
- Can manage tight timeline delivery
📌 Job Skills
Data Engineering Data Warehousing DevOps Concepts Cloud Data Eco Ssystem
📌 IT Skills
Azure Synapse Analytics Azure Data Factory Azure Data Solutions Azure Data Lake Databricks Cosmos DB Microsoft Power Platform Data Ingestion Frameworks SSIS Azure SDKs Power BI Power Platform
📌 Non II Skills
Financial Systems Interaction with Middle and Senior Management Vendor Relationship Management Analyzing System Requirements Proven Analytical Skills Problem-solving Attitude Communication Skill Positive Attitude Manage Tight Timeline Delivery
📌 Education
- B-Tech or 10 years of dedicated BI experience
Work Experience Requirements
- 8 - 10 years BI Solution Architect
📌 Other Requirements
Primary Internal Interactions
- All users of Financial systems - Finance, HR and Business Operations
- Business Stakeholders – Interaction with Middle and Senior Management
- Technology – Technology and SI Partners, ERP Support, Database, Systems, Infra and Network Management Teams
- Commercial – For Vendor relationship management