AWS Lead Data Engineer

Posted 21 Days Ago
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Gurugram, Haryana, IND
Hybrid
Expert/Leader
Information Technology • Database • Consulting
The Role
Lead Data Engineer responsible for owning end-to-end data engineering delivery: design high-level solutions, guide development and testing, deploy performant data pipelines on AWS/Snowflake, collaborate with clients and offshore teams, manage risks, and mentor engineers to ensure timely, high-quality project outcomes.
Summary Generated by Built In

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.
Responsibilities

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.
Qualifications

Bachelor’s Degree 

Skills Required

  • 9+ years of relevant experience in Data Engineering and project delivery
  • Strong expertise in Big Data concepts and cloud implementation projects
  • Snowflake
  • SQL
  • AWS services (Glue, EMR, S3, Aurora, RDS) and AWS architecture experience
  • Python
  • PySpark
  • Hands-on coding, debugging, performance tuning, and production deployments
  • Experience with Agile methodology and iterative project deliveries
  • Excellent 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, cloud migrations, US insurance/reinsurance domain, Data Vault 2.0
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

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.

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