Our client, a leading bank, is looking for a strong Data Engineering Lead for their next generation data engineering programme. The selected candidate will be working with regional stakeholders to drive the data solution development and implementation. Great exposure with perm position offering.
Lead the design and development of the Data and Data Analytics Solution.
Work with the architecture teams, development team, delivery to drive the full solution development across the whole SDLC.
Provide structured design and development across data warehousing, data modelling and visualizations.
Work with the technology team and vendors to drive the projects with aligned objectives, resources, and expectations.
Around 10 years of design and development experience across data engineering, data solutions etc.
Experience in delivering data solutions development programme across data sourcing, extraction, data storage and BI visualization.
Strong project management, interpersonal, analytical, presentation skill.
Strong technical hands-on development experience across Terdata, DB2 and/or Oracle.
In-depth knowledge of data solutions, across data sourcing, extract, transform and storing of data and into BI visualizations.
Knowledge of relational and dimensional database structures, theories, principles, and practices.
Experience with data technologies: Hadoop, Spark, YARN, Kafka, Hive, HBase, ETL frameworks, MapReduce, RESTful services, Nosql database such as Mongo will be an advantage.
Exceptional communications skills in English and Cantonese to discuss with all level of stakeholders.
Exposure to Cloud based technologies like Hadoop, Kfka, Spark etc are preferable.
Banking experience is highly preferred.
Bachelors degree from a reputable University.
If this outstanding opportunity sounds like your next career move, please send your resume in Word format to Vince Natteri at resume[at]pinpointasia.com and put "Data Engineering Lead Leading Bank" in the subject header. Data provided will be used for recruitment purposes only.
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