2 дня назад
Lead Engineer - Data (Data Engineering)
140 000 - 152 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Engineer - Data (Data Engineering): Designing and optimizing scalable data architectures, ETL pipelines, ingestion frameworks, and data quality systems with an accent on cloud platforms, data governance, and reliable data movement. Focus on building high-performance data systems, mentoring engineers, and solving complex data integration and quality challenges for client-facing projects.
Location: Toronto, Canada; hybrid working model with work from home and on-site presence at offices or client locations
Salary: $140,000–$152,500
Company
is a management consulting and technology firm that combines data, science, technology, and human ingenuity to develop solutions and technology products for clients.
What you will do
- Design, build, and optimize scalable, reliable data architectures and systems.
- Translate cross-functional data requirements into data engineering and architecture solutions.
- Develop software processes for moving data between warehouses, lakes, and internal systems.
- Design and optimize ETL pipelines, data ingestion frameworks, data quality frameworks, and audit systems.
- Establish data quality and governance practices to maintain data accuracy, integrity, and security.
- Provide technical leadership, communicate recommendations to stakeholders, and mentor junior Data Engineers.
Requirements
- Bachelor’s degree or higher in Computer Science, Data Science, or a related field.
- 8–10+ years of data engineering experience designing and implementing scalable, high-performance data systems.
- Proficiency in SQL, Python, or other relevant programming languages.
- Experience with data warehousing, cloud data platforms such as AWS, Azure, or GCP, ETL, data modeling, and database management.
- Familiarity with Hadoop, Spark, Kafka, and data integration tools, plus strong analytical, communication, collaboration, and leadership skills.
- Fluency in English and the ability to obtain or possess work authorization for Canada are required. Ability to travel to other offices or client locations as needed.
Nice to have
- Experience leading small teams of Data Engineers and supporting their professional development.
- Client-first mentality, intense work ethic, collaborative spirit, and problem-solving approach.
Culture & Benefits
- Flexible hybrid work combining home working with on-site collaboration at client and offices.
- Cross-functional skills development, custom learning pathways, and milestone training programs.
- Career progression opportunities and internal mobility paths.
- Comprehensive rewards supporting health, well-being, financial security, time away, and professional development.
- Travel opportunities for client-facing work and collaboration across different environments and cultures.
Hiring process
- Submit an online application with a full set of official or unofficial transcripts.
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