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Metro location and accessible entry-level data skills make candidate pool moderately competitive.
Low—SQL, Python, and ETL skills are highly transferable across industries.
Explicit 0-2 years plus required SQL, Python, Unix and ETL skills create moderate filtering.
Execute and deliver transactional, batch, and self-serve data processing solutions adhering to client requirements and SLAs.
Collaborate with Client Engagement and Batch teams to review technical requirements, create test plans, and perform quality checks.
Support modernization initiatives by configuring scripts and auditing results for internal and external customer data requests.
0-2 years of experience; Bachelor’s degree in engineering, operations research, or equivalent with strong academic track record.
Proficiency in SQL and Python for data processing and cleansing.
Working knowledge of Unix/Linux and ETL tools; familiarity with Spark/Pyspark/Hive is a plus.
Must be able to work hybrid (minimum 2 days/week in office) and during Canada business hours/time zone if required.
Detail-oriented individual with experience or familiarity in batch data processing and scripting for client deliverables.
Comfortable operating in a hybrid, fast-paced environment with multiple stakeholders including global teams and client engagement.
Capable of independently planning and organizing workload with ability to troubleshoot and solve problems efficiently.