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Job Title: Software Engineer(Data Integration)


Job Description :

We are looking for talented self motivated individuals with the capability and drive to support the premiere online architecture and dedicated Software Engineers/Programmers who thrive in fast-paced, ever-changing development environments.


Number Of Posts: 1


Job Type : Full Time


Job Location: Hyderabad


Salary : N


Experience : 5-6 Years


Required Skills :


  • Mulesoft, data integration using ESB(Enterprise Service Bus) or BPM (Business Process Management) like Mule, WSO2, IBM Process Server, JBPM
  • RDBMS like MySQL, RDS, Aurora DB and
  • one of the NoSQL Databases like Cassandra, etc,
  • Data Modelling and optimization in both RDBMS andNoSQL
  • Data Services, Microservices,
  • controlling access to Data services
  • AWS environment, Docker containerisation,

Mandatory Qualifications :


  • About 5-6 years of experience in data integration using ESB 
    (Enterprise Service Bus) or BPM (Business Process Management) 
    like Mule, WSO2, IBM Process Server, JBPM 
  • Experience in working with RDBMS like MySQL, RDS, Aurora DB and 
    one of the NoSQL Databases like Cassandra, etc, 
  • Experience of Data Modelling and optimization in both RDBMS and NoSQL 
  • Experience or understanding of Data Services, Microservices, 
    controlling access to Data services 
  • Exposure to work on AWS environment, Docker containerisation, 
  • Ability to innovate, hunger for excellence 
  • Should be great team player, assertive to voice opinions 
  • Good academic pedigree and should love continuous learning 

Responsibilities :

  • Design and implement data model by studying data sources by 
    interviewing users; defining, analyzing, and validating data objects; 
    identifying the relationship among data objects. 
  • Design and implement data integration pipeline by understanding of 
    third party source systems, establishing data integration specifications 
    or workflows, examining data models ; determining best-fit data 
    interchange methods; assessing middleware tools for data integration, 
    transformation, and routing; identifying factors that negatively impact 
    integration 
  • Develop and maintain Data services to other application as standard 
    mechanism to access data, Improves data integration by designing 
    and evaluating new data interchange formats; improving physical 
    design; rewriting data policy, standards, and procedures.

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