Manager-Data Engineering-Big Data Engineering
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Job Description
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 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–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.
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 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–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.
Educational Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
Key Requirements & 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–offshore teams and coordinating multi-region delivery efforts.
- 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.
- 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–offshore teams and coordinating multi-region delivery efforts.
- 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.
Frequently Asked Questions
How to apply for Manager-Data Engineering-Big Data Engineering at EXL?
Click the "Apply via CareerScan" button on this page.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
12+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
Manager-Data Engineering-Big Data Engineering
EXL · Pune
