Responsibilities: Lead data engineering initiatives, providing technical guidance, and mentorship to thedata engineering team. Drive innovation initiatives, explore new technologies and tools, and propose innovativesolutions to improve efficiency, productivity, and customer satisfaction. Design and implement robust data pipelines, ensuring scalability, performance, andreliability. Demonstrate strong proficiency in SQL, including writing complex queries, storedprocedures, and optimizing database performance. Utilize extensive experience with GCP services like Big Query, Data Flow, Pub Sub, DataStream etc for data storage, querying, and analysis. Implement data quality checks, monitoring mechanisms, and data governance practicesto ensure high-quality and reliable data. Collaborate with cross-functional teams to understand data requirements, providetechnical expertise, and deliver impactful data solutions. Foster a positive and collaborative team environment, conduct technical trainingsessions, and mentor team members to enhance their technical skills and career growth.Desired Profile: Proven experience as a Data Engineer with hands-on experience in data engineering and leading data engineering initiatives Strong proficiency in SQL Extensive experience with GCP services like BQ , Dataflow, Pub Sub, Data Stream, and similar services. Proficiency in Python with data manipulation, scripting, automation, and building data processing workflows. Hands-on experience with Apache Airflow or similar workflow orchestration tools Terraform and Tekton skills are good to have. Strong problem-solving skills, analytical thinking, and attention to detail Excellent communication, collaboration, and leadership skills Ability to work effectively in a fast