Data Engineer, Azure cloud platform (Up to 40k)

Hong Kong 22 months agoFull-time External
Negotiable
My client from retail industry is looking for a data engineer for migrating data pipelines over cloud platform. Responsibilities: • Migrate data pipelines from Informatica to Databricks, ensuring seamless integration and efficient data processing. • Design, develop, and optimize data processing workflows using SQL, PL/SQL, or python. • Implement and enforce data governance and security measures to protect sensitive data and ensure compliance. • Establish and maintain data lineage documentation to track the origin, transformations, and destinations of data. Collaborate with cross-functional teams to identify data requirements and implement optimal solutions. • Monitor and troubleshoot data pipelines to ensure smooth and uninterrupted data flow. • Conduct testing and validation of data pipelines to ensure accuracy, completeness, and data quality. • Optimize data storage, retrieval, and archival processes in collaboration with database administrators and infrastructure teams. • Stay updated with industry trends and advancements in data engineering, big data technologies, and cloud computing. Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related field. • Proven experience in migrating data pipelines from Informatica to Databricks. • Strong proficiency in Oracle 12c, ADW, MSSQL, and MYSQL. • Proficient in programming languages such as Python, Scala, or SQL for data processing and transformation. • Solid understanding of data governance and security principles. • Experience in maintaining data lineage documentation. • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. • Strong analytical and problem-solving skills. • Excellent communication and collaboration skills. • Ability to adapt to changing priorities and work effectively in a fast-paced environment. My client from retail industry is looking for a data engineer for migrating data pipelines over cloud platform