Manager-Data Engineering-Big Data Engineering

As a Lead Data Engineer, you will be responsible for driving end-to-end data engineering initiatives, leading cross-functional teams, and delivering scalable, cloud-based data solutions. Your deep technical expertise and strong leadership skills will be crucial in collaborating effectively with global stakeholders in a fast-paced environment. Key Responsibilities: - Lead and mentor a team of onshore and offshore data engineers to ensure high-quality deliverables. - Provide technical direction, coaching, and knowledge sharing to foster team growth and capability building. - Establish and enforce engineering best practices, coding standards, and reusable frameworks. - Champion innovation, continuous learning, and thought leadership within the data engineering function. - Oversee end-to-end project delivery, ensuring timely, high-quality execution aligned with project objectives. - Define high-level solution designs, data architectures, and ETL/ELT frameworks for cloud-based data platforms. - Drive development, code reviews, unit testing, and deployment to production environments. - Ensure optimal performance, scalability, and reliability across data pipelines and systems. - Collaborate with clients, product owners, business leaders, and offshore teams to gather requirements and define technical solutions. - Communicate project updates, timelines, risks, and technical concepts effectively to both technical and non-technical stakeholders. - Act as the primary point of contact for client technical discussions, solution design workshops, and progress reviews. - Proactively identify project risks, dependencies, and issues; develop and execute mitigation plans. - Ensure governance, compliance, and alignment with organizational standards and methodologies. Qualifications Required: - 12+ years of experience in Data Engineering with proven experience in delivering enterprise-scale projects. - Strong expertise in Big Data concepts, distributed systems, and cloud-native architectures. - Proficiency in Snowflake, SQL, and a wide range of AWS services (Glue, EMR, S3, Aurora, RDS, Lambda, Step Functions). - Hands-on experience with Python, PySpark, and building cloud-based microservices. - Strong problem-solving, analytical skills, and end-to-end ownership mindset. - Proven ability to work in Agile/Scrum environments with iterative delivery cycles. - Exceptional communication, leadership, and stakeholder management skills. - Demonstrated capability in leading onshore/offshore teams and coordinating multi-region delivery efforts. Additionally, the company is looking for candidates with Good-to-Have Skills such as experience with DevOps tools (Jenkins, Git, GitHub/GitLab) and CI/CD pipeline implementation, cloud migration and large-scale modernization projects, familiarity with the US insurance/reinsurance domain + P&C Insurance knowledge, and knowledge of Data Vault 2.0 and modern data modeling techniques.,