Data Engineering Opportunity
">
An exciting opportunity has emerged for a skilled Data Engineer to join a collaborative environment and contribute to the development of a robust data infrastructure.
">
The successful candidate will be responsible for designing, building, and maintaining large-scale data systems, including data pipelines, data warehouses, and data lakes.
">
Key responsibilities include:
">
* Designing, building, and maintaining large-scale data systems
* Implementing data warehouses using tools such as Amazon Redshift, Google BigQuery, and Snowflake
* Developing and maintaining scalable automated testing solutions using Ruby/Selenium-based frameworks
* Developing and maintaining data pipelines using tools such as Apache Beam, Apache Spark, and AWS Glue
* Developing and maintaining data lakes using tools such as Apache Hadoop, Apache Spark, and Amazon S3
* Collaborating with data architects to design and implement data models and data architectures
* Collaborating with data scientists to develop and deploy machine learning models and data products
* Ensuring data quality and integrity by developing and implementing data validation and data cleansing processes
* Collaborating with other teams to ensure that data systems meet business needs
* Staying up-to-date with new technologies and trends in data engineering and making recommendations for adoption
">
Qualifications include:
">
* 5+ years of experience in data engineering or a related field
* 2-4 years of experience in Ruby products, including Ruby on Rails framework
* 5+ years of experience with programming languages such as Python, Java, and Scala
* 3+ years of experience with data modeling and data architecture
* 3+ 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 qualifications include:
">
* 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 VTRAC is an equal-opportunity employer.
">
Toronto. Houston. New York. Palo Alto.