Job Description

Job Description Infosys is looking for Azure Data Engineer. You would be a Polyglot focusing on core programming in multiple programming languages, while ensuring performance, quality, scalability and extensibility. Drive Innovation in chosen domain. Work with teams to build enterprise level software applications with predictable agile DevSecOps model. The full stack developer will join a small team that uses new technology to solve challenges for both the front-end and back-end architecture, ultimately delivering amazing experiences for global users. Required Qualifications Candidate must be located within traveling distance of Richardson, TX or Raleigh, NC or be willing to relocate to the area. Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Min 3 years of core development experience in below stacks: Experience in Azure cloud services like Azure App service, API Management, AKS, Key vault, Service bus and application gateway. Experience in middleware components like Kafka, snowflake Experience in Reviewing and aligning with Azure Landing Zone design and target state architecture Experience in implementing component-level mapping from GCP to Azure (e.g., Kubernetes, Kafka, Snowflake) Ensure infrastructure and data flows meet security, resiliency, and audit requirements Experience in addressing throughput and latency expectations including peak TPS scenarios Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Qualifications Experience in data warehousing technologies, ETL/ELT implementations Sound Knowledge of Software engineering design patterns and practices Strong understanding of Functional programming. Experience with Ranger, Atlas, Tez, Hive LLAP, Neo4J, NiFi, Airflow, or any DAG based tools Knowledge and experience with Cloud and containerization technologies: Azure, Kubernetes, OpenShift and Dockers Experience with data visualization tools like Tableau, Kibana, etc Experience with design and implementation of ETL/ELT framework for complex warehouses/marts Knowledge of large data sets and experience with performance tuning and troubleshooting Building end-to-end data integration and data warehousing solutions for analytics teams. Planning and Co-ordination skills Experience and desire to work in a Global delivery environment. Ability to work in team in diverse/ multiple stakeholder environment. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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