AWS & Snowflake Cloud Developer
Infosys
Job details
Work Location
Charlotte, NC
State / Region / Province
North Carolina
Country
USA
Skills
Technology|Cloud Platform|AWS Data Analytics, Technology|Data on Cloud-DataStore|Snowflake
Domain
Delivery
Interest Group
Infosys Limited
Company
ITL USA
Requisition ID
138611BR
Job description
Infosys is seeking an AWS, Snowflake Technology Lead. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will provide inputs for identifying best-fit architectural solutions for one or more projects; develop design of applications, provide regular support and guidance to project teams on complex coding and issue resolution with the objective of ensuring best-fit and high-quality technical solutions within the area of technology specialization and in compliance with guidelines, policies and norms of Infosys. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:
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.
Candidate must be located within commuting distance of Charlotte, NC or be willing to relocate to the area
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
At least 4 years of Information Technology experience
At least 4 years of hands-on experience on AWS and Snowflake
Good experience in end-to-end implementation of data warehouse and data marts
Strong understanding of Data Warehousing concepts of Data Vault, Dimensional modelling, OLAP design
Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data load
Preferred Qualifications:
Good understanding of data integration, data quality and data architecture
Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data
Strong knowledge and hands-on experience in SQL, Unix shell scripting
Skilled in scripting languages including Python, Bash, and PowerShell
Familiarity with log and monitoring solutions
Experience in utilizing development containers, unit testing/code quality review/linting - standard best practice
Good understanding of Agile software development frameworks
Strong communication and Analytical skills
Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
Experience and desire to work in a global delivery environment
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.
EEO
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. 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.