Sr. Data Engineer (AI/Data Modernization)

VTRAC Consulting Corporation (WBE); Canada; Remote; CAD 90,000 - 120,000; Full time

Job summary

A leading company is seeking a Senior Data Engineer to design and maintain large-scale data systems. The role involves collaboration with data architects and scientists to ensure data quality and integrity. Ideal candidates will have extensive experience in data engineering and relevant tools, and a Bachelor's degree in Computer Science.

Qualifications

• 8+ years of experience in data engineering or a related field.
• Strong experience with data warehousing and data lakes.

Responsibilities

• Design, build, and maintain large-scale data systems.
• Collaborate with data scientists to develop machine learning models.

Skills

Collaboration

Communication

Education

Bachelor's degree in Computer Science

Tools

Apache Beam

Apache Spark

AWS Glue

Amazon Redshift

Google BigQuery

Snowflake

Apache Hadoop

Amazon S3

Job description

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Direct message the job poster from VTRAC Consulting Corporation (WBE)

Senior Consultant, Business Solutions @ VTRAC | Certified Diversity Co.

VTRAC Consulting Corporation

Thank you for applying to VTRAC opportunities. Please e-mail your resume as an MS-WORD document in confidence. Subject: Sr. Data Engineer (AI/Data Modernization), Attention: [e-mail] or call: [phone]

Position #: 251172

Position Type: Contract

No. of Positions: 1

Location: Remote

Description:

An exciting opportunity for a skilled Data Engineer to join our team and help us build and maintain our data infrastructure. As a Sr. Data Engineer, you will be responsible for designing, building, and maintaining large-scale data systems, including data pipelines, data warehouses, and data lakes. You will work closely with data architects, data scientists, and other stakeholders to ensure that our data systems meet the needs of our business.

Key Responsibilities:

• Design, build, and maintain large-scale data systems, including data pipelines, data warehouses, and data lakes
• Work with data architects to design and implement data models and data architectures
• Collaborate with data scientists to develop and deploy machine learning models and data products
• Develop and maintain data pipelines using tools such as Apache Beam, Apache Spark, and AWS Glue
• Design and implement data warehouses using tools such as Amazon Redshift, Google BigQuery, and Snowflake
• Develop and maintain data lakes using tools such as Apache Hadoop, Apache Spark, and Amazon S3
• Ensure data quality and integrity by developing and implementing data validation and data cleansing processes
• Collaborate with other teams to ensure that data systems meet the needs of the business
• Stay up-to-date with new technologies and trends in data engineering and make recommendations for adoption

Qualifications:

• 8+ years of experience in data engineering or a related field
• 8+ years of experience with programming languages such as Python, Java, and Scala
• 4+ years of experience with data modeling and data architecture
• 4+ years of experience with data engineering tools such as Apache Beam, Apache Spark, AWS Glue, Amazon Redshift, Google BigQuery, and Snowflake
• Strong experience with data warehousing and data lakes
• Strong experience with data validation and data cleansing
• Strong collaboration and communication skills
• Bachelor's degree in Computer Science, Engineering, or a related field

Nice to Have:

• Experience with machine learning and data science
• Experience with cloud-based data platforms such as AWS, GCP, or Azure
• Experience with containerization using Docker and Kubernetes
• Experience with agile development methodologies such as Scrum or Kanban
• Experience with data governance and data security

We thank all candidates in advance. Only selected candidates for interviews will be contacted. For other exciting opportunities, please visit us at www.vtrac.com. VTRAC is an equal-opportunity employer.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• Software Development

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