Role Overview: We are seeking a hands-on Data Engineer with 5+ years of experience to support data engineering and master data management initiatives. The ideal candidate brings practical Databricks expertise, strong experience working with structured and semi-structured data (particularly JSON), and hands-on exposure to Reltio MDM. This is an initial three-month contract with a strong possibility of extension based on project needs and performance. About Teqfocus: Teqfocus is a Data and AI company that helps enterprises build and scale the Agentic Enterprise — connecting the data foundation, the intelligence layer, and the applications teams run their businesses on into a single, coherent architecture. As a Salesforce Summit Partner, we work in Healthcare, Life Sciences, Financial Services, Insurance, and Hi-Tech — industries where getting AI right matters and the tolerance for failure is low. Our delivery model is senior-heavy by design. The same team that scopes an engagement ships it to production. There are no junior shadow teams, no sub-contractors brought in when the problem gets hard, and no hand-off to a separate managed services vendor when the project closes. We run an internal innovation practice that builds the reusable patterns, pre-tested architectures, and industry-specific frameworks that give every Teqfocus client a head start — and give every Teqfocus practitioner work that compounds over time. We are a diverse, immigrant-entrepreneurial company. We were built on the conviction that the best outcomes come from people who take genuine ownership of what they build — and are trusted to do so. www.teqfocus.com

Key Responsibilities
• Design, develop and maintain reliable data ingestion,



transformation and processing pipelines using Databricks and SQL/Python-based tooling.
• Process, parse, transform and validate structured and semi-structured datasets, including nested JSON payloads from source systems and APIs.
• Work with Reltio MDM data models, records and integrations to support master data quality, synchronization and downstream consumption.
• Implement data mapping, cleansing, deduplication, reconciliation and validation checks to improve accuracy and consistency.
• Collaborate with analysts, architects and application teams to translate source-to-target requirements into robust data solutions.
• Troubleshoot pipeline failures, data discrepancies and performance bottlenecks; document mappings, assumptions and operational handoffs. Required Skills &

Qualifications:
• 5+ years of professional experience in data engineering or a closely related data integration role.
• Hands-on experience with Databricks for data processing, transformations and pipeline development.
• Strong proficiency in SQL and working knowledge of Python and/or PySpark.
• Practical experience handling JSON data, including nested structures, schema mapping, parsing and transformation.
• Working experience with Reltio MDM, including master data concepts such as entities, relationships, match/merge and data quality.
• Ability to integrate, validate and troubleshoot data across multiple source and target systems.
• Solid communication skills and ability to contribute effectively within a hybrid delivery team. Good to Have:
• Experience with Delta Lake, Spark performance tuning and Databricks workflows/jobs.
• Experience integrating REST APIs or cloud-based data platforms.
• Familiarity with data governance, metadata management and MDM survivorship rules.

📌 Data Engineer – Databricks (Toronto)
🏢 Teqfocus
📍 Toronto