Posted 14 June, 2026

Manager-Data Engineering-Big Data Engineering

ExlService Holdings, Inc.

Pune, Maharashtra, India Full Time

Reference: 218_689623_6759

About the Role

We are seeking a highly skilled Lead Data Engineer to drive end-to-end data engineering initiatives, lead cross-functional teams, and deliver scalable, cloud-based data solutions. The ideal candidate will bring deep technical expertise, strong leadership, and the ability to collaborate effectively with global stakeholders in a fast-paced environment.

Key Responsibilities

Leadership & Team Management

Lead and mentor a team of onshore and offshore data engineers to ensure high-quality deliverables.
Provide technical direction, coaching, and knowledge sharing to foster team growth and capability building.
Establish and enforce engineering best practices, coding standards, and reusable frameworks.
Champion innovation, continuous learning, and thought leadership within the data engineering function.

Project Delivery & Execution

Oversee end-to-end project delivery, ensuring timely, high-quality execution aligned with project objectives.
Define high-level solution designs, data architectures, and ETL/ELT frameworks for cloud-based data platforms.
Drive development, code reviews, unit testing, and deployment to production environments.
Ensure optimal performance, scalability, and reliability across data pipelines and systems.

Stakeholder Communication & Collaboration

Collaborate with clients, product owners, business leaders, and offshore teams to gather requirements and define technical solutions.
Communicate project updates, timelines, risks, and technical concepts effectively to both technical and non-technical stakeholders.
Act as the primary point of contact for client technical discussions, solution design workshops, and progress reviews.

Risk & Issue Management

Proactively identify project risks, dependencies, and issues; develop and execute mitigation plans.
Ensure governance, compliance, and alignment with organizational standards and methodologies.

Must-Have Skills

12+ years of experience in Data Engineering with proven experience in delivering enterprise-scale projects.
Strong expertise in Big Data concepts, distributed systems, and cloud-native architectures.
Proficiency in Snowflake, SQL, and a wide range of AWS services (Glue, EMR, S3, Aurora, RDS, Lambda, Step Functions).
Hands-on experience with Python, PySpark, and building cloud-based microservices.
Strong problem-solving, analytical skills, and end-to-end ownership mindset.
Proven ability to work in Agile/Scrum environments with iterative delivery cycles.
Exceptional communication, leadership, and stakeholder management skills.
Demonstrated capability in leading onshore-offshore teams and coordinating multi-region delivery efforts.

Good-to-Have Skills

Experience with DevOps tools (Jenkins, Git, GitHub/GitLab) and CI/CD pipeline implementation.
Experience with cloud migration and large-scale modernization projects.
Familiarity with the US insurance/reinsurance domain + P&C Insurance knowledge
Knowledge of Data Vault 2.0 and modern data modeling techniques.

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.

EXL 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.

Educational Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.