Job Summary
We are seeking a Sr. Developer with 8 to 10 years of experience to join our team. The ideal candidate will have extensive experience in ETL Data WareHousing Concepts Data Lake Concepts Informatica Cloud Scheduler Cloud DWH SQL Data Integration Informatica Cloud and Unix Shell Scripting. Experience in Cards & Payments domain is a plus. This is a hybrid work model with day shifts and no travel required.
Responsibilities
Develop and maintain ETL processes to ensure data is accurately and efficiently loaded into data warehouses and data lakes.Oversee the implementation of Data WareHousing Concepts to support business intelligence and analytics.Utilize Data Lake Concepts to manage and analyze large volumes of structured and unstructured data.Implement and manage Informatica Cloud Scheduler to automate data integration tasks.Work with Cloud DWH to store and manage data in a scalable and secure environment.Write and optimize SQL queries to retrieve and manipulate data for reporting and analysis.Ensure seamless Data Integration across various systems and platforms.Utilize Informatica Cloud to design and implement data integration solutions.Develop and maintain Unix Shell Scripts to automate data processing tasks.Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.Provide technical support and troubleshooting for data integration and ETL processes.Monitor and optimize data workflows to ensure high performance and reliability.Stay updated with the latest industry trends and technologies to continuously improve data management practices.
Qualifications
Possess strong experience in ETL processes and tools.Demonstrate expertise in Data WareHousing Concepts and Data Lake Concepts.Have hands-on experience with Informatica Cloud Scheduler and Cloud DWH.Be proficient in SQL and data integration techniques.Have experience with Unix Shell Scripting for automation.Nice to have experience in the Cards & Payments domain.Exhibit strong problem-solving skills and attention to detail.Show ability to work in a hybrid work model with effective communication skills.Demonstrate capability to work independently and as part of a team.Be committed to continuous learning and professional development.Have a proactive approach to identifying and addressing data-related issues.Show ability to manage multiple tasks and projects simultaneously.Possess excellent analytical and organizational skills.