Data Engineer - Top Stack

A Data Engineer role is available, focusing on evaluating, architecting, building, securing, and managing data platforms.

HIGHLIGHTS:

• Hybrid position, 2 days in office.
• Join a company that will offer stability, career growth opportunities, and a strong foundation for your professional journey.
• Opportunities for professional growth through training, mentorship programs, and advancement within the company.
• A supportive and inclusive work environment that values diversity, equity, and inclusion.

 
 
RESPONSIBILITIES:

• Lead the development and maintenance of ETL processes using Python, PySpark, and SQL.
• Provide technical expertise to address complex business challenges related to data integration and database system design.
• Participate in testing and documentation activities to ensure the maintenance of high-quality code and comprehensive data documentation.
• Integrate and implement the Enterprise Data Strategy into transformational roadmaps, ensuring the key principles of Data Governance, Data Management, Data Analytics, and Architecture are adhered to.

 
QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in IT, focusing on data platform architecture, administration, engineering, security, and operational support
• Understanding of AWS services.
• Expertise in data engineering, including proficiency in diagnosing and resolving issues in Pyspark and SQL code.