Epicareer Might not Working Properly
Learn More

Big Data Engineer 1| 8136 -Kuala Lumpur

RM 8,000 - RM 8,000 / month

Checking job availability...

Original
Simplified

SN

Required Information

Details

1. Role**

Big Data Engineer

2. Required Technical Skill Set**

Big Data (Hadoop, HIVE, Scala, SQL)

3. No of Requirements**

2

4. Desired Experience Range**

5-12 years

5. Location of Requirement

Kuala Lumpur, Malaysia

Desired Competencies (Technical/Behavioral Competency)

Must-Have**(Ideally should not be more than 3-5)

  • Hands-on experience of Hadoop, Hive SQL’s, Spark, Scala, Big Data Eco System Tools.
  • Should be able to develop, tweak queries and work on performance enhancement.
  • Solid understanding of object-oriented programming and HDFS concepts
  • The candidate will be responsible for delivering code, setting up environment, connectivity, deploying the code in production after testing.

Good-to-Have

  • Prefer to have good DWH/ Data Lake knowledge.
  • Conceptual and creative problem-solving skills, ability to work with considerable ambiguity, ability to learn new and complex concepts quickly.
  • Experience in working with teams in a complex organization involving multiple reporting lines
  • The candidate should have good DevOps and Agile Development Framework knowledge.

SN

Responsibility of / Expectations from the Role

•Need to work as a developer in Cloudera Hadoop.

•Work on Hadoop, Hive SQL’s, Scala, Bigdata Eco System Tools.

•Experience working with team in a complex organization involving multiple reporting lines.

•The candidate should have strong functional and technical knowledge to deliver what is required and he/she should be well acquainted with Banking terminologies.

•The candidate should have strong DevOps and Agile Development Framework knowledge.

•Create Scala/Spark jobs for data transformation and aggregation.

•Experience with stream-processing systems like Spark-Streaming.

Job Types: Full-time, Contract
Contract length: 12 months

Pay: Up to RM8,000.00 per month

Schedule:

  • Holidays
  • Monday to Friday
  • Weekend jobs