Azure Databricks - Data Engineer

About the Role

Key Responsibilities

• Enable digital transformation for clients using Azure and Databricks technologies.
• Research on technologies independently and recommend appropriate solutions.
• Contribute to technology-specific best practices and standards.
• Interface with key stakeholders and apply technical proficiency across different stages of the Software Development Life Cycle.

Requirements

• 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.
• All applicants authorized to work in the United States are encouraged to apply.
• Bachelor's degree or foreign equivalent required from an accredited institution, or three years of progressive experience in the specialty in lieu of every year of education.
• At least 2 years of Information Technology experience.
• At least 2 years of 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.

Nice to Have

• Sound knowledge of software engineering design patterns and practices.
• Strong knowledge of Data structures, Data Engineering concepts, Algorithms, Collections, Multi-threading, 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.

Qualifications

• Bachelor's degree or foreign equivalent from an accredited institution.
• Three years of progressive experience in the specialty in lieu of every year of education.