AWS and Snowflake Data Engineer

Infosys - Raleigh, NC

Full-time

Raleigh, NC

Professional, Scientific, and Technical Services

About the position

Infosys is seeking an AWS and Snowflake Data Engineer to enable digital transformation for our clients in a global delivery model. In this role, you will be responsible for researching technologies independently, recommending appropriate solutions, and contributing to technology-specific best practices and standards. You will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle (SDLC). This position is part of a learning culture where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. As an AWS and Snowflake Data Engineer, you will play a crucial role in the end-to-end implementation of data solutions using AWS and Snowflake technologies. You will leverage your experience in SQL, Unix shell scripting, and Python to develop and optimize data pipelines and workflows. The role requires a strong understanding of data engineering concepts, algorithms, and software engineering design patterns. You will also be expected to work in a diverse, multi-stakeholder environment, collaborating with both business and technology teams to deliver high-quality solutions. This position may require travel within the US, and candidates must be located within commuting distance of Raleigh, NC, or be willing to relocate to the area. The ideal candidate will have a strong background in Information Technology, particularly in cloud data migrations and data engineering practices, and will be able to communicate effectively with various stakeholders.

Responsibilities

• Enable digital transformation for clients in a global delivery model.
• Research technologies independently and recommend appropriate solutions.
• Contribute to technology-specific best practices and standards.
• Interface with key stakeholders throughout the Software Development Life Cycle.
• Implement end-to-end data solutions using AWS and Snowflake technologies.
• Develop and optimize data pipelines and workflows using SQL, Unix shell scripting, and Python.
• Collaborate with business and technology teams in a diverse, multi-stakeholder environment.

Requirements

• Bachelor's degree or foreign equivalent from an accredited institution, or three years of progressive experience in the specialty in lieu of every year of education.
• At least 4 years of Information Technology experience.
• At least 2 years of experience with AWS.
• At least 2 years of experience with Snowflake.
• Experience in end-to-end implementation using AWS and Snowflake technologies.
• Strong knowledge and hands-on experience in SQL, Unix shell scripting, and Python.

Nice-to-haves

• Experience in the Banking/Financial domain.
• Strong knowledge of data structures, data engineering concepts, algorithms, collections, multi-threading, memory management, and concurrency.
• Experience in large scale cloud data migrations using Snowflake, Python, Spark, and SQL.
• Sound knowledge of software engineering design patterns and practices.
• Good understanding of Agile software development frameworks.
• Good communication and analytical skills.
• Experience in Azure/AWS Databricks.