.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, 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 highly skilled Senior Integration Developer / Data Engineer to join our team and play a pivotal role in designing, developing, and maintaining robust data pipelines. You will be responsible for ensuring the efficient and accurate movement of data from various sources into our data platform. Your expertise in data integration technologies and cloud platforms will be instrumental in delivering high-quality data solutions.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 ResponsibilitiesDesign, develop, and implement efficient and scalable data pipelines to extract, transform, and load data into the target data platform.Conduct thorough testing and validation of data pipelines to ensure data accuracy, completeness, and consistency.Troubleshoot and resolve data integration issues in a timely manner.Optimize data pipelines for performance and cost-effectiveness.Collaborate with data analysts and data scientists to understand data requirements and translate them into technical specifications.Adhere to data quality standards and best practices.Mentor and guide junior team members in data integration techniques.Conduct data profiling to understand the completeness, accuracy, integrity, and validity of the data.Document data integrations clearly, including technical specifications and development assumptions.Requirements for the roleSolid experience in data integration, data warehousing, data modelling, data ingestion, data cleansing, and data profiling.Strong proficiency in Python or other scripting languages.Proven expertise in data integration development within the Oracle Cloud Infrastructure (OCI) ecosystem/Oracle Cloud data platforms, databases, data lakes, and data warehouses
