Data Engineer-Cl3814

Toronto, Canada

Full Time Senior-level / Expert USD 76K - 150K *
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Nisum

Nisum has always been about our commitment to investing in our clients to propel them towards achieving their business goals. As a result, they continue to trust and recommended us, and we have been able to grow. Nisum provides services like...

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What You'll Do

  • Work in a scrum-based team that is passionate about enabling a data culture throughout the organization
  • Design and develop scalable and robust pipelines for data consumption by downstream applications in support of advanced analytics, AI/ML products, and system interoperability
  • Identify opportunities for improvement of existing ETL processes to enhance data integrity and accuracy
  • Deliver a high degree of data availability, consistency, and accuracy for our current production systems
  • Actively participate in solution design and modeling to ensure data products are developed according to best practices, standards, and architectural principles 
  • Work closely with the data architect, database administrators, and BI developers, to redefine our approach to data pipelines and principles of reusability. 
  • Protect Clickatell’s information, intellectual property, and corporate data systems in accordance with prescribed guidelines.

What You Know

  • 3+ years of production data engineering experience
  • 2+ years of experience working in cloud environments
  • Should have experience in the background working in a high-volume payment transaction environment, or mobile technology platforms and systems integration would be advantageous and be able to demonstrate a sustained track record of delivering high-quality outputs, on-time and to product or business specifications. 
  • Exposure to Business Intelligence, and data warehousing (dimensional modeling) will be advantageous.
  • High transactional development environments and Business intelligence experience will be advantageous.
  • Experience with data transformation tools such as Talend will be advantageous. 
  • Excellent hands-on experience in working with SQL and NoSQL data sets
  • Experience using GUI ETL tools
  • Experience with data streaming architecture
  • Working knowledge of DevOps principles such as CI/CD
  • Self-disciplined, eager to help, and most importantly a thirst for continual learning
  • Building on our coaching culture, you are someone who will not only be willing, but also passionate about assisting colleagues.
  • Formal training in business intelligence, data architecture, or design would be advantageous 

Education

  • B-Tech or Bachelor's Degree in Engineering, Computer Science or Informatics.

* Salary range is an estimate based on our salary survey at salaries.ai-jobs.net

Tags: Business Intelligence Data pipelines Data Warehousing Engineering ETL ML NoSQL Scrum SQL Streaming Talend

Perks/benefits: Career development

Region: North America
Country: Canada
Job stats:  3  1  0
Category: Engineering Jobs
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