EXL

Data Engineer- AWS+MS Fabric+ Purview

Posted Yesterday

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Bengaluru, Bengaluru Urban, Karnataka, IND

Hybrid

Senior level

Information Technology • Database • Consulting

The Role

Lead architecture, development, and deployment of scalable AWS cloud and Microsoft Fabric data solutions. Implement data governance with Microsoft Purview, define standards and best practices, mentor engineers, collaborate with stakeholders, and drive cloud, data, and governance initiatives to meet business objectives.

Summary Generated by Built In

About the Role:
Seeking for a highly skilled Senior Engineer with deep expertise in AWS, Microsoft Fabric, and Microsoft Purview. The ideal candidate will drive architecture, development, and implementation of scalable cloud and data governance solutions, while providing technical leadership to the engineering team.

Key Responsibilities:

Lead the design, development, and deployment of scalable cloud solutions on AWS.
Architect and implement enterprise data solutions using Microsoft Fabric, including analytics, data pipelines, and integrated lakehouse scenarios.
Implement and manage data governance, cataloging, and compliance using Microsoft Purview.
Define technical standards, best practices, and architecture patterns across cloud and data projects.
Mentor and guide junior engineers, ensuring high-quality, maintainable, and secure code.
Collaborate with business and data stakeholders to align technical solutions with organizational objectives.
Drive innovation in cloud, data, and governance initiatives to support strategic business goals.

Required Skills & Qualifications:

6+ years of hands-on experience in software/cloud engineering or data platform engineering.
Strong expertise in AWS services (EC2, S3, Lambda, RDS, CloudFormation, etc.) and cloud architecture.
Hands-on experience with Microsoft Fabric for building analytics, ETL pipelines, or lakehouse solutions.
Experience with Microsoft Purview a MUST.
Proficiency in programming/scripting languages such as Python, SQL, or .NET.
Experience with CI/CD pipelines, DevOps practices, and infrastructure as code.
Strong problem-solving, technical leadership, and stakeholder management skills.
Excellent communication skills, with experience collaborating across distributed teams.

Preferred:

AWS certifications (Solutions Architect, DevOps Engineer)
Microsoft Fabric or Azure Data certifications
Prior experience in financial services, insurance, or healthcare domains

Responsibilities

Key Responsibilities:

Lead the design, development, and deployment of scalable cloud solutions on AWS.
Architect and implement enterprise data solutions using Microsoft Fabric, including analytics, data pipelines, and integrated lakehouse scenarios.
Implement and manage data governance, cataloging, and compliance using Microsoft Purview.
Define technical standards, best practices, and architecture patterns across cloud and data projects.
Mentor and guide junior engineers, ensuring high-quality, maintainable, and secure code.
Collaborate with business and data stakeholders to align technical solutions with organizational objectives.
Drive innovation in cloud, data, and governance initiatives to support strategic business goals.

Qualifications

Required Skills & Qualifications:

6+ years of hands-on experience in software/cloud engineering or data platform engineering.
Strong expertise in AWS services (EC2, S3, Lambda, RDS, CloudFormation, etc.) and cloud architecture.
Hands-on experience with Microsoft Fabric for building analytics, ETL pipelines, or lakehouse solutions.
Experience with Microsoft Purview a MUST.
Proficiency in programming/scripting languages such as Python, SQL, or .NET.
Experience with CI/CD pipelines, DevOps practices, and infrastructure as code.
Strong problem-solving, technical leadership, and stakeholder management skills.
Excellent communication skills, with experience collaborating across distributed teams.

Preferred:

AWS certifications (Solutions Architect, DevOps Engineer)
Microsoft Fabric or Azure Data certifications
Prior experience in financial services, insurance, or healthcare domains

About Us

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.

EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.

About the TeamEXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

Skills Required

6+ years hands-on experience in software/cloud engineering or data platform engineering.
Strong expertise in AWS services (EC2, S3, Lambda, RDS, CloudFormation, etc.) and cloud architecture.
Hands-on experience with Microsoft Fabric for analytics, ETL pipelines, or lakehouse solutions.
Experience with Microsoft Purview (required).
Proficiency in programming/scripting languages such as Python, SQL, or .NET.
Experience with CI/CD pipelines, DevOps practices, and infrastructure as code.
Strong problem-solving, technical leadership, and stakeholder management skills.
Excellent communication skills with experience collaborating across distributed teams.
AWS certifications (Solutions Architect, DevOps Engineer).
Microsoft Fabric or Azure Data certifications.
Prior experience in financial services, insurance, or healthcare domains.

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