AWS Lead Data Engineer

Job description

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.