Data Engineer

About the job:

The Data Engineer is a cornerstone of Vendastas R&D team, driving the efficient processing, organization, and delivery of clean, structured data in support of business intelligence and decision-making. By developing and maintaining scalable ELT pipelines, they ensure data reliability and scalability, adhering to Vendastas commitment to delivering data solutions aligned with evolving business needs.

Responsibilities:

• Design, implement, and maintain scalable ELT pipelines within a Kimball Architecture data warehouse. Ensure robustness against failures and data entry errors, managing data conformation, de-duplication, survivorship, and coercion.
• Manage historical and hierarchical data structures, ensuring usability for the Business Intelligence (BI) team and scalability for future growth.
• Partner with BI teams to prioritize and deliver data solutions while maintaining alignment with business objectives. Work closely with source system owners to extract, clean, and integrate data into the data warehouse. Advocate for and influence improvements in source data integrity.
• Champion best practices in data engineering, including governance, lineage tracking, and quality assurance. Collaborate with Site Reliability Engineering (SRE) teams to optimize cloud infrastructure usage.
• Operate within an Agile framework, contributing to team backlogs via Kanban or Scrum processes as appropriate. Balance short-term deliverables with long-term technical investments in collaboration with BI and engineering management.
  

Qualifications:

• 3 - 7 years of proficiency in ETL, SQL and experience with cloud-based platforms like Google Cloud (BigQuery, DBT, Looker). 
• In-depth understanding of Kimball data warehousing principles, including the 34-subsystems of ETL.
• Strong problem-solving skills for diagnosing and resolving data quality issues.
• Ability to engage with BI teams and source system owners to prioritize and deliver data solutions effectively.
  Eagerness to advocate for data integrity improvements while respecting the boundaries of data mesh principles.
• Ability to balance immediate needs with long-term technical investments.
• Understanding of cloud infrastructure for effective resource management in partnership with SRE teams.
  

Perks:

• Benefits health insurance
• Paid time offs
• Training & Career Development: Professional development plans, leadership workshops, mentorship programs, and more!
• Free Snacks, hot beverages, and catered lunches on Fridays
• Culture - comprised of our core values: Drive, Innovation, Respect, and Agility
• Night Shift Premium
• Provident FundRole & responsibilities
• Stock options