Azure Data Engineer/Developer Jobs in India | Microsoft Fabric & Azure Data Services Career at Oracle Finergy
Azure Data Engineer/Developer Career Opportunity in India – Microsoft Fabric & Azure Data Solutions
In today’s data-driven world, financial institutions and enterprises are increasingly relying on advanced data platforms to gain actionable insights, improve decision-making, and strengthen operational efficiency. Among the most in-demand roles in this evolving digital ecosystem is the Azure Data Engineer/Developer, particularly those specializing in Microsoft Fabric and Azure data services.
This article explores an exciting career opportunity at Oracle Finergy, a leading provider of innovative solutions for the Banking, Financial Services, and Insurance (BFSI) sector. The role of an Azure Data Engineer/Developer is not only about building data pipelines—it is about enabling financial organizations to embrace the future of analytics, governance, and intelligent business operations.
About Oracle Finergy – Driving Innovation in BFSI
Oracle Finergy has built a reputation as a trusted partner for financial institutions across the globe. With decades of expertise, the company empowers banks, insurance providers, and investment firms by delivering cutting-edge digital transformation solutions. By leveraging robust methodologies and cloud-first strategies, Oracle Finergy ensures that technology aligns seamlessly with business objectives.
The BFSI industry is experiencing rapid disruption due to emerging technologies like AI-driven analytics, cloud-native data architectures, and digital-first customer solutions. Oracle Finergy positions itself at the center of this transformation, helping clients achieve agility, compliance, and scalability.
Role Overview – Microsoft Fabric Data Engineer/Developer
As a Microsoft Fabric Data Engineer/Developer, professionals will work on designing, building, and deploying end-to-end data solutions within the Microsoft Fabric ecosystem. This role is critical to transforming raw enterprise data into meaningful insights that can drive impactful business decisions.
The position, based in Bengaluru or Mumbai, India, is ideal for mid-to-senior-level professionals with 6 to 10+ years of experience in data engineering. It offers a chance to collaborate with architects, developers, and business leaders, while ensuring that data solutions are scalable, secure, and business-driven.
Key Responsibilities
The responsibilities of this role extend across multiple domains of modern data engineering:
1. Microsoft Fabric Development
-
Design, develop, and implement data solutions using Microsoft Fabric’s components, including Lakehouse, Data Warehouse, Data Factory, and Data Engineering.
-
Build and optimize data pipelines to handle ingestion, transformation, and curation from multiple data sources, such as Azure Data Lake Storage Gen2, APIs, and on-premises systems.
-
Develop efficient data models while maintaining data quality, scalability, and high performance.
-
Integrate Power BI dashboards and reports with Fabric data assets for effective visualization and business intelligence.
2. Azure Data Services Integration
-
Demonstrate hands-on expertise with Azure Data Factory (ADF) for ETL/ELT orchestration.
-
Utilize Azure Databricks for advanced data processing and machine learning workloads.
-
Integrate Fabric solutions with broader Azure cloud services and enterprise applications to ensure smooth interoperability.
3. Data Architecture & Governance
-
Play a key role in designing and implementing data architectures that are secure, scalable, and built for long-term reliability.
-
Implement data quality frameworks, reconciliation mechanisms, and validation processes to maintain accuracy and reliability.
-
Apply data governance principles, such as role-based access control (RBAC), compliance standards, and security policies with Azure Purview.
4. Documentation & Knowledge Sharing
-
Maintain comprehensive documentation for data pipelines, architecture, and data models.
-
Stay ahead of industry advancements in Microsoft Fabric, Azure services, and best practices in data engineering.
-
Share knowledge with cross-functional teams to foster collaboration and innovation.
Qualifications & Skills
To thrive as an Azure Data Engineer/Developer in this role, candidates must possess a blend of technical expertise, problem-solving acumen, and communication skills.
Mandatory Requirements
-
A Bachelor’s degree in Computer Science, Information Technology, or Engineering.
-
4–7 years of professional experience in data engineering or related roles.
-
Practical expertise in Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory, Data Engineering).
-
Demonstrated expertise in Azure Data Factory (ADF) and Azure Data Lake Storage Gen2.
-
Proficiency in SQL for data transformation and query optimization.
-
Experience in dimensional modeling, data warehousing concepts, and lakehouse architectures.
-
Working knowledge of Git, Azure Repos, and similar version control platforms.
-
Excellent problem-solving skills with high attention to detail.
-
Excellent communication skills, both verbal and written, to support seamless collaboration.
Good-to-Have Skills
-
Microsoft Azure or Microsoft Fabric certifications.
-
Exposure to AWS, Google Cloud Platform (GCP), or other cloud platforms.
-
Understanding of data governance frameworks and compliance practices.
-
Familiarity with finance, investment banking, or fixed-income domains, which adds business-context value.
Why This Role is Important
Data is the new currency in the financial sector. From predictive analytics in investment banking to fraud detection in insurance, the BFSI industry relies on high-quality, real-time, and secure data to drive strategic outcomes.
By joining as a Microsoft Fabric Data Engineer/Developer at Oracle Finergy, professionals can:
-
Contribute to digital transformation initiatives across BFSI.
-
Work with the latest Microsoft Fabric and Azure technologies.
-
Gain experience in large-scale, mission-critical data projects.
-
Enhance their career with exposure to cloud-native data engineering best practices.
Self-Assessment Questions for Candidates
Oracle Finergy encourages applicants to evaluate their readiness for this role by reflecting on the following:
-
Microsoft Fabric Expertise – Can you detail your experience with Fabric components and past projects?
-
Data Quality – How do you ensure data accuracy, reconciliation, and reliability within data pipelines?
-
Data Governance – What is your approach to implementing security, compliance, and role-based access?
-
Continuous Learning – How do you stay updated with Microsoft Fabric and Azure’s evolving landscape?
-
Problem-Solving – Can you share an example of a complex data challenge you solved and the impact it created?
Career Growth and Opportunities
This role provides a unique opportunity to work at the intersection of data engineering, financial technology, and cloud transformation. With Microsoft Fabric’s growing adoption, professionals in this role will remain at the forefront of innovation.
Employees also benefit from Oracle’s global presence, inclusive workplace culture, and emphasis on work-life balance, diversity, and equal opportunity. Additionally, the company’s volunteer programs and employee development initiatives ensure holistic career growth.
Why Choose Oracle Finergy?
-
Global Leader in Cloud Solutions: Oracle’s reputation for over 40 years is built on technology-driven transformation.
-
Inclusive Workforce: Oracle promotes diversity, equity, and inclusion across all levels.
-
Competitive Benefits: Comprehensive medical, insurance, and retirement options.
-
Commitment to Accessibility: Support for individuals with disabilities throughout the hiring and work process.
-
Impactful Work: Collaborate on solutions that directly enhance financial services and customer experiences.
Final Thoughts
The Azure Data Engineer/Developer role at Oracle Finergy is a career-defining opportunity for professionals seeking to specialize in Microsoft Fabric and Azure data services. This position not only demands strong technical expertise but also offers immense potential for growth in the ever-evolving BFSI technology landscape.
For ambitious data engineers ready to contribute to financial innovation, cloud-first strategies, and cutting-edge analytics, this role provides the perfect platform. If you’re passionate about data engineering, governance, and scalable architecture, this could be your next big step.