Role: Lead Data Engineer Experience: 9–12 years
Location : Gurugram
Must-Have Skills:
- 9+ years of relevant experience in Data Engineering and project delivery.
- Strong expertise in Big Data concepts and cloud implementation projects.
- Proficient in Snowflake, SQL, and AWS services (Glue, EMR, S3, Aurora, RDS, AWS architecture).
- Excellent hands-on experience with Python, PySpark, and AWS cloud microservices.
- Capability to perform coding, debugging, performance tuning, and deploying applications to production environments.
- Strong problem-solving abilities, analytical skills, and aptitude for ownership.
- Skilled in Agile Methodology with experience in iterative project deliveries.
- Quick learner with the ability to lead team members in adopting new technologies.
- Exceptional communication and stakeholder management skills.
Good-to-Have Skills:
- Familiarity with DevOps tools and practices (e.g., Jenkins, Git) and experience in CI/CD pipelines.
- Knowledge of Spark, SQL (with Snowflake exposure), and advanced Big Data Concepts.
- Experience with cloud migrations and development projects
- Knowledge of US insurance and reinsurance domain
- Knowledge of Data Vault 2.0
Role & Responsibilities:
- Lead and oversee project delivery, ensuring timely completion with high quality.
- Collaborate with clients and offshore leads to gather requirements and define high-level designs.
- Direct development and unit testing activities while maintaining strong alignment with project goals.
- Communicate effectively with stakeholders, providing regular updates on task and project statuses.
- Identify, track, and address project risks or issues promptly.
- Work closely with management to ensure seamless execution of tasks.
- Provide technical guidance to the team, outlining design, implementation, and delivery strategies.
Education:
- Bachelor’s Degree in Engineering (BE/B.Tech) from a reputed institution.
Role & Responsibilities:
- Lead and oversee project delivery, ensuring timely completion with high quality.
- Collaborate with clients and offshore leads to gather requirements and define high-level designs.
- Direct development and unit testing activities while maintaining strong alignment with project goals.
- Communicate effectively with stakeholders, providing regular updates on task and project statuses.
- Identify, track, and address project risks or issues promptly.
- Work closely with management to ensure seamless execution of tasks.
- Provide technical guidance to the team, outlining design, implementation, and delivery strategies.
Bachelor’s Degree
Skills Required
- 9+ years relevant experience in Data Engineering and project delivery
- Strong expertise in Big Data concepts and cloud implementation
- Proficient in Snowflake
- Proficient in SQL
- Proficient in AWS services (Glue, EMR, S3, Aurora, RDS, AWS architecture)
- Hands-on experience with Python
- Hands-on experience with PySpark
- Ability to code, debug, performance tune, and deploy applications to production
- Experience working in Agile methodology and iterative deliveries
- Strong problem-solving, ownership, communication, and stakeholder management skills
- Bachelor's Degree in Engineering (BE/B.Tech)
- Familiarity with DevOps tools and CI/CD (Jenkins, Git)
- Knowledge of Spark and advanced Big Data concepts
- Experience with cloud migrations and development projects
- Knowledge of US insurance and reinsurance domain
- Knowledge of Data Vault 2.0
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
