Senior Data engineer (Contract/Remote)
at Vaco SF
Montréal, QC, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 04 Aug, 2024 | USD 85 Hourly | 05 May, 2024 | 8 year(s) or above | Kafka,Machine Learning,Power Bi,Information Systems,Confluence,Docker,Azure,Spark,Jira,Tableau,Software Engineering Practices,Computer Science,Hadoop,Aws,Data Engineering,Agile Methodologies,Data Analytics | No | No |
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Employment Type:
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C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
Montreal, QC, CA On-Site
December 11th, 2023
Software
Vaco
$ 85.00 - 85.00 hourly
contractor
Job Opportunity: Senior Data Engineer
Our client, a prominent player in the high-tech e-training industry, is on the lookout for a seasoned Senior Data Engineer. This role offers a chance to dive into a dynamic and innovative field, contributing to the company’s growth and success. The position is 100% remote, providing a flexible work environment.
REQUIREMENTS:
- Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
- 8 years of experience in data engineering or similar roles.
- Proficiency in cloud platforms (AWS, GCP, Azure), big data technologies (Hadoop, Spark, Kafka), and software engineering practices.
- Strong communication and problem-solving skills.
- Experience in agile methodologies and familiarity with JIRA, Confluence.
PREFERRED QUALIFICATIONS:
- Knowledge of containerization technologies (Docker, Kubernetes).
- Experience with data analytics and visualization tools (Azure Synapse Analytics, Power BI, Tableau).
- Familiarity with machine learning, AI technologies, and DevOps practices.
How To Apply:
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Responsibilities:
ROLE OVERVIEW:
- Job Title: Senior Data Engineer
- Industry: High-tech e-training
- Location: Remote
- Tech Stack: Databricks PySpark, SQL
- Team Structure: A team of around 20 professionals
RESPONSIBILITIES:
- Design and implement scalable and reliable data pipelines on modern cloud platforms (AWS, GCP, Azure).
- Collaborate closely with data architects, scientists, and analysts to meet business data requirements.
- Develop, maintain, and optimize data processing infrastructure, including ETL pipelines, data warehousing, and data lakes.
- Troubleshoot and resolve data processing issues.
- Stay updated with emerging data engineering trends and technologies.
Determining compensation for this role (and others) at Vaco depends upon a wide array of factors including but not limited to:
- the individual’s skill sets, experience and training;
- licensure and certification requirements;
- office location and other geographic considerations;
- other business and organizational needs
REQUIREMENT SUMMARY
Min:8.0Max:13.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Montréal, QC, Canada