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
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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