.Job Details:Primary Job Responsibilities:As a Lead Data Engineer in the Data and Analytics organization, this role will play a critical part in the continued advancement of cloud-native capabilities. This role must possess a strong data manipulation and data warehouse background. And a solid professional experience. This role will be responsible for working with business and technical stakeholders to understand data needs and requirements and translate them into a comprehensive data solution as well as implement data security measures to ensure that sensitive data is protected in accordance with the expected regulations. This role requires solid experience to generate and design solution on cloud platforms such as GCP (Google Cloud Platform) or AWS (Amazon Web Services). The Lead Data Engineer will be part of designing wide, robust, and complex data ingestion and transformation solutions throughout the system development lifecycle. Coordinate and lead in support activities, and prototyping efforts including the read-out of outcomes in an acceptable manner. This role will also be responsible of having a continued commitment to mentoring and growing technical team members across the entire organization and show strong ownership characteristics, and demonstrate a advanced technical aptitude including a consistent focus on emerging and predominant technologies that help the organization.Qualifications:Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience.Practical technical experience through a combination of full-stack engineering, architecture, and/or technical delivery for large-scale, complex, cloud-based software systems.Proficiency with SQL & Query optimization, working on RDBMS and Data Warehouse (ERD (Entity Relationship Diagram) and Dimensional modeling).General understanding of patterns related to architecture, design, and implementation of highly distributed global cloud-based systems on AWS and GCP.General understanding of GitLab CI and/or Jenkins CICD frameworks and DevSecOps practices related to DevSecOps theory.High aptitude for and desire to learn modern technologies related to Cloud-Native application development patterns.Ability to implement technical solutions and prototypes from high-level design sessions with Cloud Architect.Experience working on teams that use Agile as their system development life cycle methodology.Requirements:Technical Skills: Demonstrated and proficient in SQL & Query optimization, working on RDBMS and Data Warehouses.Solid and demonstrated experience working with varied databases, real-time integration patterns and ETL/ELT best practices.Excellent problem-solving and analytical skillsExperience with data modeling tools and techniquesExperience on working through Agile methodology (Scrum/Kanban)Experience with CICD frameworks and common DevOps practicesExperience working in an onsite-offshore model
