Data Engineer Jobs in Niagara Falls
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Search Results - Data Engineer Jobs in Niagara Falls
OnX-St. Catharines, 15 km from Niagara Falls
in their markets.
Responsibilities
As a Data Engineer, you will:
Design, develop, and implement comprehensive data pipelines using ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks to meet mission...
Acerta-Cambridge, 104 km from Niagara Falls
in greater efficiency and satisfied customers.
We are seeking a talented and experienced Lead Data Engineer to join our growing team. The Lead Data Engineer will play a key role in designing, building, and maintaining our data infrastructure, ensuring...
Altis Technology-St. Catharines, 15 km from Niagara Falls
Our client, a leading data engineering company is looking for MULTIPLE (Portuguese and English) Language Specialist for PERMANENT positions.
This is a role that translators dream about - you will be training generative AI in how to think...
Hays-Toronto, 73 km from Niagara Falls
Bilingual : Fluent in English and French Location : Toronto or Montreal (preferred)
Permanent Position
8+ years of experience in data architecture design, data management, or related roles with a heavy manufacturing context.
Your new employer...
Altis Recruitment-St. Catharines, 15 km from Niagara Falls
Our client, a leading data engineering company is looking for a Multilingual Language Specialist for PERMANENT position.
Language's available: Spanish/English
Dutch/English
Japanese/English
German/English
Schedule: Full time (40 hour work week...
Wirehead-Toronto, 73 km from Niagara Falls
Microsoft Certified: Microsoft Certified: Data Engineer on Azure
Ability the development team through the full application lifecycle, including design, development, testing, deployment, and post-implementation support.
Ability to provide technical guidance...
ProCogia-St. Catharines, 15 km from Niagara Falls
do account mapping, and targeted prospect outreach with specific solutions.
Develop Sales Materials: Create and refine pitch decks and presentations for client engagements, showcasing expertise in data engineering, data science, data analytics, SAS...
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