.Empowered by our motto, "Making Data Matter", Keyrus stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation. With a presence in 27 countries across 4 continents, we're on a mission to elevate the impact of data.We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, and Visualisation to Enterprise Performance Management, from advisory to delivery.With more than 3200 employees in all corners of the world, Keyrus is dedicated to helping businesses take advantage of the Data and Digital paradigm to enhance their performance, facilitating, and accelerating their transformation, and generating new drivers of growth, competitiveness, and sustainability.Job SummaryKeyrus is looking for a Senior Cloud Data Engineer to join our team and play a pivotal role in building and maintaining our data infrastructure. As a Senior Cloud Data Engineer, you will be responsible for designing, developing, and managing data pipelines that efficiently extract, transform, and load data into our target systems.We value individuals who are detail-oriented, independent contributors with exceptional communication and problem-solving skills, ensuring that together, we continue to transform possibilities into reality.Note: All applications/CVs must be submitted in English.Key Responsibilities Design, develop, and maintain robust and scalable data pipelines using Cloud and Cloud infrastructure platforms and technologies, preference OCI (Oracle Cloud Infrastructure). Develop data ingestion processes from various sources, including APIs, databases, and files, into the target data environment. Implement data quality checks and validation procedures to ensure data integrity and accuracy. Optimize data pipelines for performance and efficiency. Collaborate with data analysts and data scientists to understand their data requirements and translate them into technical specifications. Troubleshoot and resolve data pipeline issues in a timely manner. Stay up-to-date with the latest data engineering technologies and best practices. Requirements for the role Solid experience with Oracle Cloud data platforms, databases, data lakes, and data warehouses. Deep understanding of data integration technologies, specifically Apigee, OCI and data integration services (ODI, DataFlow). Experience with data engineering tools and frameworks such as Apache Spark, Hadoop, Kafka, and Airflow. Strong proficiency in Python programming for data engineering tasks. Experience with data modelling and data warehousing concepts. Knowledge of data quality and profiling techniques. Ability to work effectively in a fast-paced, agile environment. At least 5 years of experience as a Data Engineer. Fluent in English (mandatory)
