Thursday, 19 November 2015

Data Engineers job at Sale Stock Pte Ltd Singapore

A mobile-commerce startup that applies the principles of cost-leadership and leverage the power of social media.

Sale Stock sells quality women's clothing at very affordable prices. By eliminating the middleman, cut overhead, and focus on selling online, we minimize costs and keep all the profits for our customers. With this principle we can offer honest price.

Our team members hail from Stanford, Carnegie Mellon, UCLA, NTU, NUS, and ANU graduates, with top company working experience, such as Facebook, NASA, Apple, Yahoo!, Sony, Citibank, McKinsey & Company, Lazada, Zalora, Olx and Accenture. 

Now, Sale Stock is one of the tech start-up in Indonesia which has the most rapid development.


- Design, develop, and maintain our data infrastructure.
- Optimization/modification of data flow/pipeline to handle 3Vs of big data (Volume, Velocity, Variety).
- Develop custom ETL jobs to cater custom requirements.
- Coordinate with other departments (Tech, Business Intelligence, etc) to fulfil/adapt their data requirements/requests.
- Make sure the end user of the data (Business Intelligence, Data Science, etc) can query the data seamlessly for their use.
- Explore/learn new technologies that can complement or replace our current stack to improve it.

 


- Background in server-side software development in Linux environment (It's a plus if can do front-end as well).
- Degree in Computer Science/Engineering/Mathematics is a good start, but not a must.
- Not scared of reading technical documentation or source code.
- Programming language:
    - Python
    - Scala
    - Java
- Relevant experience:
    - Hadoop (HDFS, MR, Yarn)
    - Hadoop File Formats & Compression (Parquet, ORCFile, Snappy, gzip)
    - SQL on Hadoop (Hive, SparkSQL, Impala)
    - NoSQL (HBase, Cassandra)
    - RDBMS (MySQL, Postgres)
    - Distributed processing engine (Spark, Flink)
    - Data Ingestion & Message Processing (RabbitMQ, ActiveMQ, ZeroMQ, Kafka, Flume)
    - Stream processing (Spark Streaming, Storm)
- Years of experience required: zero. Having prior experience is definitely an advantage,
  but what we need is passion, interest, and willingness to learn and share. 

 



from http://www.startupjobs.asia

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