Data Integration Engineer - Informatica

<p><b>Job Title : </b> Data Integration Engineer<br/><br/><b>Client :</b> IXLY Technologies<br/><br/><b>Experience :</b> 10+ Years<br/><br/><b>Role : </b> Data Integration Engineer<br/><br/><b>Job type :</b> Full-Time(Onsite) <br/><br/><b>Job Description : <br/></b><br/>We are looking for an experienced Data Integration Engineer with strong expertise in Data Integration tools and technologies to join our team.

The ideal candidate will play a key role in designing, developing, and managing data integration solutions that support enterprise data flows and analytics platforms.

You will work closely with cross-functional teams to deliver efficient, scalable, and reliable data pipelines, ensuring seamless data movement and transformation across various systems.<br/><br/><b>Key Responsibilities : <br/></b><br/>- Design, develop, and maintain data integration workflows using Informatica PowerCenter and other ETL tools.<br/><br/>- Develop custom data integration solutions using Python for automation, data transformation, and orchestration.<br/><br/>- Manage containerized applications and data workflows using Kubernetes for deployment and scalability.<br/><br/>- Collaborate with data architects, business analysts, and data engineers to understand data requirements and implement integration solutions.<br/><br/>- Monitor and optimize data integration processes for performance, accuracy, and reliability.<br/><br/>- Ensure data quality and integrity by implementing validation rules and error-handling mechanisms.<br/><br/>- Troubleshoot and resolve data integration issues in a timely manner.<br/><br/>- Participate in design reviews, code reviews, and knowledge-sharing sessions.<br/><br/>- Maintain proper documentation of integration workflows, processes, and technical designs.<br/><br/><b>Primary Skills & Technologies : <br/></b><br/>- ETL Tools : Informatica PowerCenter (Data Integrator)<br/><br/>- Programming Languages : Python<br/><br/>- Containerization & Orchestration : Kubernetes<br/><br/>- Data Sources : Relational Databases, Data Warehouses, APIs, Flat Files<br/><br/>- Version Control : Git<br/><br/>- Operating Systems : Linux/Unix</p> (ref:hirist.tech)