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Job Summary


Job Type
Permanent

Seniority

Years of Experience
Information not provided

Tech Stacks
ETL
Cloud Foundry
SparkSQL
play
Druid
Spring
Sqoop
TDD
ZooKeeper
HDFS
HBase
Git
OOP
Pivotal Cloud Foundry
Hive
Impala
Spark
Flink
kafka
Scala
Jenkins
Cassandra
Hadoop
MySQL
Linux
Springboot
Python
Java

Job Description



We are building the next generation services for the digital channels using agile methodology and modern technologies. As part of our team you will play a key part in the bank's digital transformation journey.

Our Technology Stack


Java 8
Spring Boot
MySQL Database
Git
Pivotal Cloud Foundry
Jenkins
Hands-on experience on Spark, SparkSQL, Hive QL, Impala, Spark Data Frames and Flink CEP, as ETL framework
Hands-on programming skill on Scala/Python using Spark/Flink Framework

Our Values


Customer centric design
Production quality code
DDD - Domain Driven Design
TDD - Test Driven Development
Pair programming
Automated Devops pipeline

Responsibilities

  • Have a continuous improvement mindset.
  • Take part in software design activities & discussions.
  • Write production quality code.

Skills

Must have
  • BS/MS degree in Computer Science, Software Engineering or a related subject.
  • Comfortable with practicing TDD and pair programming.
  • Well versed in DevOps.
  • Experience with Hadoop Technologies such as HDFS/MapRFS, Map Reduce(II), Advanced HDFS ACLS, Hive, HBase, Cassandra, Impala, Spark, Sqoop, Kafka, Nifi, Flink, Druid, Zookeeper and zkClient tool
  • Good knowledge on Object Oriented design principles.
  • Strong knowledge of Big Data stream ingestion and stream processing using Kafka and Spark Structured Streaming, Flink
  • Hands on experience with Object Oriented programming.
  • Experience in Database Technologies
  • Experience in agile software development
  • Knowledge on Linux is a plus.
  • Knowledge on cloud platforms is a plus.

Nice to have

  • Knowledge about the infrastructure paradigms such as OS, network etc. is an added advantage.
  • Certification in any of Hadoop Big Data tool/technology, data integration, data management, or visualization tools is an added advantage.

Languages
English: C2 Proficient

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