Senior Data engineer (Contract/Remote)

at  Vaco SF

Montréal, QC, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate04 Aug, 2024USD 85 Hourly05 May, 20248 year(s) or aboveKafka,Machine Learning,Power Bi,Information Systems,Confluence,Docker,Azure,Spark,Jira,Tableau,Software Engineering Practices,Computer Science,Hadoop,Aws,Data Engineering,Agile Methodologies,Data AnalyticsNoNo
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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