Role: AWS Snowflake and DBT Data Engineer
Location: Houston, TX
Infosys is seeking an AWS Snowflake and DBT Data Engineer. 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 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 Houston, TX or be willing to relocate to the area. This position may require travel in the US
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.
All applicants authorized to work in the United States are encouraged to apply
At least 4 years of Information Technology experience
At least 2 years of AWS Glue experience
At least 2 years of Snowflake experience
Hands on experience with developing complex transformations using Data Build tool (DBT)
Experience in end-to-end implementation using technologies such as AWS and Snowflake,
Strong knowledge and hands-on experience in SQL, Unix shell scripting, and Python
Preferred Qualifications:
Experience in Services and Utilities domain
Strong knowledge Data structures, Data Engineering concepts, Algorithms, Collections, Multi-threading and memory management and concurrency
Experience in large scale cloud data migrations using Snowflake, Python, Spark, SQL
Sound knowledge of software engineering design patterns and practices
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
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