Data Platform Engineer Lead

Role Overview: You will play a crucial role as a Data Platform Engineer Lead at Barclays, focusing on building and maintaining systems for data collection, storage, processing, and analysis. This includes managing data pipelines, data warehouses, and data lakes to ensure the accuracy, accessibility, and security of all data within the organization. Key Responsibilities: - Utilize hands-on coding experience in Java or Python and a strong understanding of AWS development to implement various services like Lambda, Glue, Step Functions, and IAM roles. - Proficiently build efficient data pipelines using Apache Spark and other AWS services to streamline data processing and analysis. - Demonstrate strong technical acumen to troubleshoot complex systems and apply sound engineering principles to problem-solving. - Stay updated with new technologies, continuously learn, and adapt to evolving trends in the data engineering field. - Design experience in diverse projects, especially in the Big Data/Data Warehouse domain within Financial services, is advantageous. - Possess additional skills in enterprise-level software solutions development, knowledge of file formats like JSON, Iceberg, Avro, and familiarity with streaming services such as Kafka, MSK, and Kinesis. - Collaborate effectively with cross-functional teams, communicate efficiently, document processes, and mentor team members to drive success in the role. Qualifications Required: - Hands-on coding experience in Java or Python - Strong understanding of AWS development, including services like Lambda, Glue, Step Functions, and IAM roles - Proficiency in building efficient data pipelines using Apache Spark and other AWS services - Design experience in Big Data/Data Warehouse projects within Financial services is advantageous - Additional skills in enterprise-level software solutions development, knowledge of file formats like JSON, Iceberg, Avro, and familiarity with streaming services such as Kafka, MSK, and Kinesis - Effective communication, collaboration, documentation, and mentoring skills are important for this role (Note: The job description did not include any additional details about the company.),