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Job Summary


Job Type
Permanent

Seniority
Mid

Years of Experience
At least 5 years

Tech Stacks
ETL
Analytics
Sqoop
HDFS
Flume
Pig
HBase
Azure
Hive
Spark
NoSQL
SQL
Scala
MongoDB
Cassandra
Hadoop
Java

Job Description


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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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