TQUKE0696_4555 - MHP Data Integration Engineer

Experience - 3 to 5yrs

Responsible Area:-

Development and maintenance of data integration pipelines, support for middleware platforms, API-based integration, ETL/ELT workflows, and data movement monitoring.


Key Activities:-

Essential Duties and Responsibilities:

 

We are seeking a motivated Junior Data Integration Engineer to support the development and operation of reliable, efficient, and secure data integration workflows across various systems. The candidate will work closely with senior engineers and cross-functional teams to understand integration requirements and deliver robust data pipelines.

 

Work experience:

 

·       3–5 years of experience in data integration, ETL/ELT workflows, or API-based integration.

·       Exposure to integration tools and platforms like Azure Data Factory, MuleSoft, Boomi, Talend, or Informatica.

·       Familiarity with REST/SOAP APIs and data formats including JSON, XML, CSV.

·       Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, MongoDB.

·       Exposure to scripting languages such as Python, Shell scripting, or JavaScript.

·       Understanding of message queuing technologies (e.g., Kafka, RabbitMQ, Azure Service Bus).

·       Basic understanding of cloud platforms (Azure, AWS, or GCP).

·       Exposure to version control systems (e.g., Git), CI/CD tools, and Agile methodologies.

·       Basic understanding of data warehousing concepts and dimensional modelling.

·       Exposure to monitoring tools such as Grafana, Prometheus, or ELK stack.

 

Required Skills & Qualifications:

 

·       Good analytical and debugging skills.

·       Strong written and verbal communication.

·       Willingness to learn and adopt new technologies.

·       Ability to collaborate effectively within a team environment.

·       Understanding of secure data handling and governance principles.

·       Ability to create technical documentation and flow diagrams.

·       Enthusiastic attitude toward continuous improvement.

·       Awareness of data security, compliance (e.g., GDPR), and API rate-limiting practices.

·       Knowledge of error handling, retry policies, and scheduling mechanisms.

 


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