





Common SQL/Python/ETL requirements plus metro location increase applicant competition.
SQL, Python and ETL skills are broadly transferable across industries.
Explicit 0–2 years requirement plus mandatory SQL/Python/ETL skills imply moderate screening.
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Execute data processing and transformation tasks to fulfill batch and transactional product delivery within service level agreements.
Partner with Client Engagement teams to review client requirements and ensure accurate, quality-checked output delivery.
Support modernization initiatives by configuring scripts, performing audits, and collaborating with offline production and global batch teams.
0-2 years of experience; Bachelor’s degree in engineering, operations research, or equivalent with strong academic track record.
Proficient in SQL and Python for data processing and cleansing; working knowledge of Unix/Linux and ETL tools.
Flexibility to work in Canada business hours/time zone and hybrid work environment (minimum two days in assigned office).
Good to have knowledge of Spark/PySpark/Hive; strong attention to detail.
Detail-oriented individual capable of independently managing workload with some guidance and multitasking in a fast-paced environment.
Comfortable collaborating across multiple levels and with global teams, including offline production and batch processing.
Technically inclined candidate with foundational skills in data handling, scripting, and quality assurance supporting batch delivery processes.