6 дней назад
Senior Associate Engineer - Data (Databricks)
110 000 - 122 500CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Associate Engineer - Data (Databricks): Building and optimizing scalable data pipelines, storage solutions, and processing workflows with an accent on Databricks, Azure Data Services, Snowflake, data quality, and governance. Focus on designing real-time and batch ETL/ELT systems, securing sensitive data, and integrating lakehouse infrastructure with analytics and business requirements.
Location: Toronto, Canada; hybrid work with a combination of home working and on-site presence at client or offices
Salary: $110,000–$122,500 per year
Company
is a management consulting and technology firm combining data, science, technology, and human ingenuity to create solutions and technology products for patients, caregivers, consumers, and business clients.
What you will do
- Design, build, orchestrate, and optimize scalable ETL/ELT data pipelines across databases, APIs, streaming platforms, and file systems.
- Develop data integration solutions for real-time, batch, and incremental processing across warehouses, data lakes, and lakehouse environments.
- Implement data quality checks, validation, monitoring, alerting, and performance optimization.
- Manage relational, NoSQL, and distributed storage solutions, compute clusters, and data processing infrastructure.
- Implement encryption, access controls, auditing, data governance, and security controls for sensitive data and regulatory compliance.
- Provide technical guidance to junior engineers and collaborate with data scientists, business analysts, clients, and engineering teams.
Requirements
- Bachelor’s or master’s degree in computer science, data engineering, or a related technical field.
- 4+ years of experience in data engineering, including scalable data systems and Snowflake.
- Hands-on experience with Databricks, PySpark, Delta Lake, Unity Catalog, Azure Data Services, SQL, and Python.
- Knowledge of dimensional, relational, and modern lakehouse data modeling, ETL/ELT orchestration, and data governance and security.
- Experience with distributed computing, cloud-based data services, requirements gathering, and stakeholder workshops; working knowledge of Power BI.
- Fluent English and availability to travel to other offices or client locations as needed.
Culture & Benefits
- Cross-functional skills development, custom learning pathways, and milestone training programs.
- Career progression opportunities, internal mobility, and paths for individual contribution and role expansion.
- Comprehensive rewards supporting health and well-being, financial security, time away, and professional development.
- Collaborative, client-first environment with flexible home and on-site work.
- Client-facing roles require travel according to project and business needs.
Hiring process
- Submit an online application with a full set of official or unofficial transcripts.
- Candidates must possess or be able to obtain work authorization for their intended country of employment.
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