Banking + 2 more
Description
Education: Bachelor’s degree in computer science, Information Systems or related field.
Job Experience & Skills Required:
2+ years’ experience working in Big data environment, optimising and building big data
pipelines, architectures and data sets with e.g. Java, Scala, Python, Hadoop, Apache
Spark and Kafka
Familiarity with Hadoop ecosystem and its components
Good knowledge of the concepts of Hadoop
Solid experience in a working environment in Big Data development utilising SQL or
Python
Experience in Big Data development using Spark
Experience in Hadoop, HDFS and MapReduce
Experience in database design, development and data modelling
The following additional knowledge, skills and attributes are preferred:
Good knowledge in back-end programming, specifically java
Experience with development in a Linux environment and its basic commands
Ability to write reliable, manageable, and high-performance code
Should have basic knowledge of SQL, database structures, principles, and theories
Knowledge of workflow/schedulers
Strong collaboration and communication skills
Strong analytical and problem-solving skills
Responsibilities
Support pipelines end to end
Build enhancements and new developments
Build and deploy new data pipelines
Identify optimisation opportunities
Improvement on recovery time in case of prod failures
Test prototypes and oversee handover to the Data Operations teams
Attend and contribute to regular team and User meetings
Responsible for the actual coding or programming of Hadoop applications
High-speed querying
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