Our client, a well-known financial institution is looking for a Data Engineering Lead to lead their Big Data Platform development team. The selected candidates will be working on a mega scale financial platform. Great remuneration and growth with sound project exposure.
– Lead the design and development of the Big Data solutions within a cloud-based Big Data Platform.
– Manage onshore and offshore development resources to build the platform.
– Building distributed and highly parallelised Big Data Ingestion and process pipeline to be able to process a massive amounts of Data in real-time.
– Lead the building of the development platform across high level architecture and complex algorithm design.
– Review and design the data quality framework to measure and improve the data quality over time.
– Work with product manager, business to design the data pipelines.
– Build automated process and software which are reusable and reliable.
– Work with Site Reliability Team to build a software delivery model in CI/CD.
– Mentor junior developers to adapt into the latest data engineering and big data technology.
– Extensive Data Engineering experience in solving complex problems.
– In-depth Software development experience in Python, Scala or Java.
– Team Leading experience in driving the full development cycle.
– Knowledge in design and implementing data infrastructure on Public Cloud infrastructure like AWS, Azure or GCP.
– Experience with Big Data technology like Apache Spark, Nifi, Kafka, Hadoop, Tensorflow etc
– Strong experience and knowledge in SQL.
– Great people skills to work with all level of stakeholders including senior management.
– Experience in in-memory data processing is preferred.
– Interest to learn new technologies including Machine Learning.
– Excellent communication skills in English and Chinese.
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