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Technical Data Engineer

OCBC Bank

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Job Summary


Salary
$6,000 - $12,000 SGD / Monthly EST

Job Type
Permanent

Seniority
Senior (≥ 6 yrs)

Years of Experience
At least 10 years

Tech Stacks
Anaconda
Analytics
T SQL
HDFS
Cloudera
Azure
Hive
Spark
kafka
SQL
Scala
Hadoop
Python
Java

Job Description


We are currently looking for a qualified candidate to assist the Data Engineering Team’s operational and analytical needs. The Technical Data Enginer will work alongside Data Analytics and big data platform (Hadoop) and engineering team to provide data related support, data ingestion, data interface for unstructured/structred data, data analytics and data management.  This person will also assist in building interfaces from various upstream systems and ingest the data into Micrsoft SQL server 2019 / Cloudera Hadoop data store and build the enterprise visulasation tool. This is a great opportunity for someone who is interested in innovative group with the possibility of tremendous career development in data engineering, big data management, data analytics and enterprise data visulsaisation tool.Responsibitlies:As our Technical Data Enginer, you will be instrumental in big data coding and work in Hadoop-ecosystem. This is a brand-new position at Data Competency vertical.
  1. Perform extensive unstructured data ingestion into Hadoop
  2. StronG knowledge of Anaconda, Data visualisation BI tool,  Python, SPARK, Java Scala, HIVE and Beeline with hands on experience
  3. Ability to organize and lead meetings with business and operational data owners
  4. Experience in integrating data processes with architecture requirements used across company
  5. Understand Hadoop-ecosystem and Data Engineering activities as well as loading data from several disparate datasets and documentation
  6. Strong ability to troubleshoot and resolve data issues
  7. Analytical skill to perform data profiling and data visulization
  8. Experience in Agile and Waterfall frameworkWork
  9. Work closely with engineering and operations to document business processes
  10. Work independently and with team members to understand database structure and business processes
  11. Help form data management and governance processes within the data engineering team
 
Qualifications  
  1. Graduate degree in statistics, math, computer science, physics or other technical related fields; Master’s degree is preferred
  2. Minimum of 10 years working experience in technical data analysis, data science, or data warehousing with proven business analysis experience
  3. Experience in at least one or more languages: SPARK, Java Scala,Python
  4. Experience writing Java Scala, Python
  5. Experience with Hadoop
  6. Hands on expierence or knowledge of minimum one mainstream cloud infrastructures:AWS,MS Azure and GCP; ablity to implement data lake.
  7. Good to have Hands-on experienceon the Hadoop, MangoDB,SPARK, Scala, HIVE, Kafka ,Beelin…etc
  8. Excellent communication skills
  9. Passionate about data and analyzing business needs
  10. Previous experience on a data team in an agile environment preferred
  11. Hands-on experience on the Hadoop ecosystem, HDFS, Hadoop, Spark, Scala preferred
  12. Develop in-depth plans and major milestones that must be approved by top management during the planning and design phases of the project.
Note:
  1. The incumbent will be seconded to Bank of Singapore for assignments
  2. For all headhunters / recruitment firms, any CVs received without a formal agreement will be unsolicited and we will not be obligated to pay a referral fee.  

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