Data Engineering

Data Engineer - Singapore

Singapore   |   Full Time

About the role - Working at Tiger Analytics, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. We are looking for a data engineer to be based out of our Singapore office. As a big data engineer you will be responsible to 

• Develop big data solutions for near real-time stream processing, as well as batch processing on the Big Data platform. 

• Analyse problems and engineer highly flexible solutions 

• Set up and run BigData development Frameworks like Hive, Sqoop, Streaming mechanisms, Pig, Mahout, Scala, SPARK and others. 

• Working experience on Big Data services on the cloud, preferred Azure (ADF, ADLS, Blob Storage, Azure SQL WH, etc) 

• Work with business domain experts, data scientists, and application developers to identify data relevant for analysis and develop the Big Data solution 

• Coordinate effectively with team members in the project, customer and with business partners 

• Adapt and learn new technologies surrounding BigData ecosystems 

• Take the initiative to run the project and gel in the start-up environment.

Required Experience, Skills & Competencies:  

• Minimum 5 years of professional experience with 2 years of Hadoop project experience. 

• Experience in Big Data technologies like HDFS, Hadoop, Hive, Pig, Sqoop, Flume, Spark, etc. 

• Experience working on the cloud environment, preferred on Azure 

• Must-Have core Java experience or advance java experience. 

• Experience in developing and managing scalable Hadoop cluster environments and other scalable supportable infrastructure. 

• Familiarity with data warehousing concepts, distributed systems, data pipelines, and ETL. 

• Good communication (written and oral) and interpersonal skills. 

• Extremely analytical with strong business sense. 

• Experience in NOSQL technologies like Hbase, Cassandra, MongoDB (Good to have)  

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