Infosys is seeking an Azure and Databricks Cloud Data Engineer . In this role, y ou 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. Y ou will be responsible to interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle. 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:
- Candidate must be located within commuting distance of Raleigh, NC or Richardson, TX or be willing to relocate to the area. This position may require travel in the US
- U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.
- 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.
- At least 4 years of Information Technology experience
- Experience in end-to-end implementation of projects in Azure, Databricks, Python, PySpark, SQL.
- Strong knowledge and hands-on experience in SQL, Unix shell scripting
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- Sound knowledge of software engineering design patterns and practices
- Strong knowledge Data structures, Data Engineering concepts, Algorithms, Collections, Multi-threading and memory management and concurrency
- Experience in large scale cloud data migrations using Databricks, Python, Spark, SQL.
- Good understanding of Agile software development frameworks
- Experience in Banking/Financial domain
- Good to have experience in Snowflake
- 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