Data Engineer – Scala
Key responsibilities
– Develop Scala/Spark programs, scripts, and macros for data extraction, transformation and analysis
– Design and implement solutions to meet business requirements
– Support and maintain existing Hadoop applications and related technologies
– Develop and maintain metadata, user access and security controls
– Develop and maintain technical documentation, including data models, process flows and system diagrams
Requirements
– Minimum 3-5 years of experience from Scala/Spark related projects and/or engagements
– Create Scala/Spark jobs for data transformation and aggregation as per the complex business requirements.
– Should be able work in a challenging and agile environment with quick turnaround times and strict deadlines.
– Perform Unit tests of the Scala code
– Raise PR, trigger build and release JAR versions for deployment via Jenkins pipeline
– Should be familiar with CI/CD concepts and the processes
– Peer review the code
– Perform RCA of the bugs raised
– Should have excellent understanding of Hadoop ecosystem
– Should be well versed with below technologies
Jenkins
HQL(Hive Queries)
Oozie
Shell scripting
GIT
Splunk
Preferred
– Relevant certifications (e.g., Scala, Spark, Hadoop, Performance)
– Knowledge of other programming languages (e.g., Python, R)
– Insight to cloud-based solutions such as Snowflake
– Experience in Financial Services, preferrable in the Credit risk domain
Ref: 1723578
May 22, 2024
Experienced Professional
Permanent Full Time
Location:
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