data engineer.

• Experience with Oracle environments for server and database management
• Knowledge of data warehousing, data pipelines, and DevOps practices
• Proficiency in Apache Spark/PySpark and Kafka

about the company
My client has a global footprint, with operations and partnerships spanning across multiple countries. They are looking for an experience Data Engineer to lead the new project.

about the job

• Develop, build, test, and maintain data architectures, including databases, data warehouses, and large-scale data processing systems.
• Design and create data pipelines and systems for data modelling, mining, and production.
• Ensure the data architecture supports both routine and ad-hoc needs of the data analytics team, stakeholders, and the business.
• Utilize various programming languages and data processing tools to clean and optimize raw data for use in descriptive and predictive modelling.
• Recommend and implement strategies to enhance data quality, reliability, flexibility, and efficiency.
• Organize and manage data assets and catalogs to ensure information is easily accessible and retrievable.
• Perform PL/SQL and SQL tuning and optimization for both new and existing applications.

skills and experience required

• At least 3 years in data architecture, data warehousing, data processing, data modelling, and ETL/ELT, with a focus on real-time streaming solutions.
• Proficient in Oracle SQL/PLSQL. Experience with Kubernetes-based DevOps practices, including container orchestration, CI/CD pipelines.
• Skilled in Python, R, and SQL for data cleaning, and data processing.

whats on offer ...