Data Engineer- Pyspark Developer

About the Role

Key Responsibilities

• Enable digital transformation for clients in a global delivery model.
• Research on technologies independently.
• Recommend appropriate solutions and contribute to best practices and standards.
• Interface with key stakeholders.
• Apply technical proficiency across different stages of the Software Development Life Cycle.

Requirements

• Candidate must be located within commuting distance of Minneapolis, MN 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, or 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 3 years experience in PySpark.
• At least 3 years of experience in Hadoop, Spark and Hive.
• Experience in ETL Development.

Nice to Have

• Good understanding of data integration, data quality and data architecture.
• Good general knowledge in end-to-end implementation of data warehouse and data marts.
• Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data.
• Experience in Banking domain.
• 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.