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.