Data Office Developer (SQL , Python, Data Engineering , Data Warehousing)
Design, develop, and maintain database objects and data processing logic using SQL and Python. Support data extraction, transformation, loading, and reporting activities across various cloud and relational platforms.
- On-site
- Toronto, ON
- Posted Jul 28, 2026
- Apply by Aug 28, 2026
- 1 position
Job summary
Job Title: Data Office Developer (SQL, Python, ETL, Data Warehousing) Role: Data Office Developer Key Responsibilities • Design, develop, and maintain database objects, scripts, queries, and data processing logic using SQL and Python • Analyze business and technical requirements and translate them into scalable data solutions • Support data extraction, transformation, loading, validation, reconciliation, and reporting activities across multiple data platforms • Develop and optimize SQL queries, stored procedures, and scripts to support data analysis, reporting, and operational needs • Work with relational and cloud-based databases such as Oracle, IQ, BigQuery, and HANA, as applicable • Collaborate with business analysts, data analysts, architects, quality engineering teams, and business stakeholders to understand data requirements and resolve issues • Assist in data modeling activities, including understanding source-to-target mapping, relationships, business rules, and data lineage • Support dashboard/reporting development or validation using tools such as Tableau and Looker • Perform data quality checks, troubleshoot data issues, and support root cause analysis for defects or production incidents • Prepare and maintain technical documentation, data mapping documents, design notes, deployment steps, and support handover materials Must Have Skills • Strong hands-on experience with SQL, including writing, debugging, and optimizing complex queries • Proficiency in Python for data processing, automation, scripting, and analysis • Solid understanding of database concepts, including tables, views, joins, indexes, keys, normalization, stored procedures, and data integrity • Ability to analyze data, troubleshoot issues, and validate results across source and target systems • Experience working with large datasets and applying data quality, reconciliation, and validation techniques • Strong communication skills with the ability to work with technical and business stakeholders Good to Have Skills • Experience with database platforms such as Oracle, IQ, BigQuery, and SAP HANA • Understanding of ETL concepts, including extraction, transformation, loading, scheduling, monitoring, and error handling • Knowledge of data modeling concepts such as conceptual, logical, and physical models, star schema, snowflake schema, facts, dimensions, and source-to-target mapping • Experience with reporting and visualization platforms such as Tableau and Looker • Exposure to data warehousing, analytics platforms, cloud data services, and enterprise reporting environments
What you’ll do
Design, develop, and maintain database objects and data processing logic using SQL and Python. Support data extraction, transformation, loading, and reporting activities across various cloud and relational platforms.
Requirements
Requires strong hands-on experience with SQL and Python for data processing and automation. Candidates should have a solid understanding of database concepts and experience working with large datasets.
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Sql
- Python
- Data Engineering
- Data Warehousing
- Etl
- Oracle
- BigQuery
- Sap Hana
- Tableau
- Looker
- Data Modeling
- Data Validation
- Stored Procedures
- Data Lineage
- Root Cause Analysis
- Technical Documentation
Job areas
- Data & Analytics
- Technology
- Software
- Consulting
- Engineering
Additional details
- Minimum experience
- 5+ years
- Apply by
- Aug 28, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available