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

AWS Lead Data Engineer