Design, implement, and maintain Spark / PySpark / Scala / Python components, flows, and codebases for various business and technical requirements
Design, implement, and maintain RDBMS databases ensuring optimal performance, scalability, and data integrity
Monitor and optimize data access and storage patterns, identify and resolve bottlenecks, and apply performance‑tuning techniques
Write complex SQL queries to analyze data and create views for downstream reporting consumers
Implement and enforce data security and access controls in compliance with industry standards and regulations
Conduct database capacity planning, forecast future requirements, and implement scaling strategies
Troubleshoot and resolve complex database‑related issues in collaboration with development and operations teams
Use Git and Jenkins / CI‑CD pipelines for automated code deployment
Work with Agile development methodologies
Demonstrate strong communication skills—verbal and written—capable of effective collaboration across IT and Business teams across regions
Apply strong analytical skills to interpret business requirements and convert them into technical designs and solutions
Act as a self‑starter, capable of managing multiple concurrent projects with minimal supervision
Resolve conflicts in priorities and navigate complex, ever‑changing project needs
Exhibit strong problem‑solving skills and the ability to bring clarity to objectives, requirements, and priorities

Bachelor’s degree in engineering, technology, or computer applications
12+ years of experience in developing data components and pipelines using Python, Spark / PySpark / Scala, and SQL
Proficient in SQL query writing
Solid understanding of relational databases and Snowflake
Familiarity with the Software Development Life Cycle (SDLC)
Excellent communication skills and independent thinking ability
Strong skills in presenting to stakeholders

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Senior Data Engineer

Key skills