SME - Data Engineer

Job Description: We are looking for a highly skilled Big Data Engineer with expertise in cloud technologies to join our team. The ideal candidate will be responsible for designing, developing, and maintaining scalable big data solutions, ensuring efficient data processing, storage, and analytics. This role involves working with distributed systems, cloud platforms, and modern data frameworks to support real-time and batch data pipelines. The above-mentioned skillsets or roles used for creating content and labs. Key Responsibilities: Design, implement, and manage scalable big data architectures on AWS, Azure, or GCP. Develop ETL pipelines for ingesting, processing, and transforming large datasets. Work with Python, Apache Spark, Hadoop, and Kafka to build efficient data processing solutions. Implement data lakes, data warehouses, and streaming architectures. Optimize database and query performance for large-scale datasets. Collaborate with SMEs, Clients, and software engineers to deliver content. Ensure data security, governance, and compliance with industry standards. Automate workflows using Apache Airflow or other orchestration tools. Monitor and troubleshoot data pipelines to ensure reliability and scalability.