Technology Platform Engineer

Job Description

Project Role : Technology Platform Engineer Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration. Must have skills : Data Warehouse ETL Testing Good to have skills : Data Modeling Techniques and Methodologies, Python (Programming Language), DevOps Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Technology Platform Engineer, you will be responsible for creating both production and non-production cloud environments utilizing appropriate software tools tailored for specific projects or products. Your typical day will involve deploying automation pipelines and automating the processes of environment creation and configuration, ensuring that all systems are optimized for performance and reliability. You will collaborate with various teams to ensure seamless integration and functionality across platforms, contributing to the overall success of the projects you are involved in. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the development and implementation of best practices for cloud environment management. - Collaborate with cross-functional teams to ensure alignment on project goals and deliverables. - Main duties will involve operating an acceptance test environment, - Supporting BAT (Business Acceptance Team) teams, ensuring the test environment is available and up to date and ready for BAT execution. - Investigating and resolving technical issues on Data Warehouse and Data Platform tech stack. - Working closely with development teams to maintain / update ETL workflow and batch scheduling jobs. Preparing and deploying latest code to the acceptance test environment using tools GitHub, Gradle and Shell Scripting. - Design and maintain batch scheduler jobs for acceptance test environment. - Provide automated solutions for environment update and maintenance. - Creating technical documentation detailing the operation of acceptance test environments and related applications. - Participate in deployment of new software executing automated tests pre-deployment, providing a deployment quality gate. - Participate in platform/tool upgrade and interface testing as and when required. - Perform detailed Data Analysis, Data Cleansing, Profiling, Reconciliation and Integrity using SQL and Shell scripts. - Develop complex PL/SQL & SQL scripts to validate implemented ETL processes and design. - Actively participate in the evolution of test automation in the Data Warehouse and Data Platform areas. Using technologies such as Gradle, Jenkins CI/CD pipelines, Python etc. - Participate in the implementation and maintenance of a Gradle based test automation framework used for functional, regression and technical testing. - Willingness to learn new functionality as well as technology to be bring the team to next level. - Test automation of Data Lake through Jenkins CI/CD pipelines would be added advantage - Application security testing with Fortify and container security exposure would be added advantage Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Warehouse ETL Testing, Solid understanding of Data Modelling, Data warehousing and Data platforms design, Git, GitHub or GitLab - Good To Have Skills: Experience with DevOps, Python (Programming Language), Data Modeling Techniques and Methodologies, Working knowledge of databases and SQL. - Good know-how on Financial Markets. Know-how on Clearing, Trading and Risk business process will be added advantage - Know-How on Java, Spark & BI reporting will be an added advantage. - Know-how of cloud platform and affinity towards modern technology an added advantage. - Experience in CI/CD pipeline and exposure to DevOps methodologies will be considered as added advantage. - Strong understanding of cloud infrastructure and services. - Experience with automation tools and scripting languages. - Familiarity with data integration and transformation processes. Additional Information: - The candidate should have minimum 3 years of experience in Data Warehouse ETL Testing. - This position is based at our Hyderabad office. - A 15 years full time education is required. 15 years full time education