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Protocol Intelligence
Data-driven signals on your job's competitivenessEntry-level data role with common SQL/Python skills in a metro at a known brand increases candidate competition.
Core SQL, Python, and ETL skills are highly transferable across industries, reducing background sensitivity.
Explicit 0-2 years requirement plus mandatory SQL/Python/ETL skills creates stricter shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Deliver transactional, batch, and self-serve solutions for internal and external customers within defined service level agreements through processing and loading of client-specific requests.
Partner with Client Engagement teams to review technical requirements and ensure quality output by creating test plans, executing, and auditing results.
Contribute to modernization initiatives and collaborate with offline production and global batch teams to fulfill data requests and deliver accurate analytical datasets.
Minimum Requirements
0-2 years of experience; Bachelor’s degree in engineering, operations research, or equivalent field with strong academic record.
Strong SQL and Python skills for data processing and cleansing; working knowledge of Unix/Linux and ETL tools; familiarity with Spark/PySpark/Hive is a plus.
Ability to work overlapping Canada business hours and flexibility to work in hybrid mode (minimum 2 days per week in-office).
Work Experience Required: 0-2 years explicit; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Comfortable executing batch and transactional data processing tasks with close attention to detail and quality assurance.
Able to partner with technical and client engagement teams to translate client requirements into tested, accurate deliverables.
Experience or willingness to work in a hybrid schedule with coordination across global and offline teams, showing adaptability to modernization efforts.