4 дня назад
Lead Data Engineer
140 000 - 155 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Engineer (Data Platforms): 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, leading engineering teams, and translating cross-functional data requirements into secure and actionable solutions.
Location: Toronto, Canada; hybrid working model with work from home and on-site presence at offices or client locations. Travel to other offices or client locations is required as needed.
Salary: $140,000–$155,000 per year
Company
is a management consulting and technology firm combining data, science, technology, and human ingenuity to develop solutions and technology products for patients, caregivers, consumers, and business clients.
What you will do
- Design, implement, and optimize scalable, high-performance data systems and architectures.
- Translate cross-functional data requirements into data engineering and architecture solutions.
- Develop software processes for data movement between data warehouses, data lakes, and internal systems.
- Build and optimize ETL pipelines, data ingestion frameworks, data quality frameworks, and integrated audit systems.
- Establish data quality and governance practices covering accuracy, integrity, and security.
- Provide technical leadership, mentorship, knowledge sharing, and continuous improvement across the data engineering team.
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 data systems.
- Proficiency in SQL, Python, or other relevant programming languages.
- Strong knowledge of data warehousing, cloud data platforms such as AWS, Azure, or GCP, ETL, data modeling, and database management.
- Familiarity with big data technologies such as Hadoop, Spark, Kafka, and data integration tools.
- Fluent English, strong communication and leadership skills, and experience leading small data engineering teams.
Nice to have
- Experience collaborating with cross-functional teams and communicating technical solutions to stakeholders.
- Client-first mentality, collaborative spirit, strong problem-solving approach, and intense work ethic.
Culture & Benefits
- Hybrid work combining home working with on-site presence at client locations or offices.
- Cross-functional skills development and customized learning pathways.
- Milestone training programs aligned with career progression opportunities.
- Internal mobility paths supporting individual contribution, role expansion, and career growth.
- Comprehensive rewards supporting health, well-being, financial planning, time away, and professional development.
Hiring process
- Submit an online application with a full set of official or unofficial transcripts.
- Possess or be able to obtain work authorization for Canada.
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