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
- Solid 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

📌 Data Office Developer (SQL , Python, Data Engineering , Data Warehousing) (Toronto)
🏢 Astra North Infoteck
📍 Toronto