AWS Lead Data Engineer

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