Data Operations Engineer

The Data Operations Engineer will be the focal point for understanding data flows, identifying their source and making sure that they are made available for consumption by other systems (integration) or the BI team (data warehousing).

Duties and responsibilities:

· Monitoring and upkeep of overall production BI system health
· Building and maintaining high-performance, fault-tolerant, scalable, distributed Extract, Transform, Load (ETL) processes
· Continuous improvement of BI processes and procedures as required to meet quality standards
· Conducting design and code review to ensure compliance with standards for production deployments
· Maintaining records and documentation as evolutions/revisions occur
· Providing first level support for data integration
· Resolution/Escalation of incident/issues in a timely manner. In the event of escalation, co-ordinate with other teams on incident/issue resolution as needed including; business users, developers, technical contacts, external suppliers, etc.
· Responding to production issues/incidents during and off business hours
· Performing/Assisting with root cause analysis
· Working as part of a dynamic team supporting multiple applications, collaborating with other developers and analysts as needed
· Assisting as needed with other exercises e.g. releases, testing, audit etc.

Required knowledge, skills and experience:

·Bachelor’s degree in ICT or related subject
· At least 2 years work experience in Application development and/or Production Support
· At least 1 year of experience with scripting (Bash / PowerShell)
· At least 1 year of experience using data integration tools (Talend / SSIS / Informatica)
· At least 1 year of experience in database related concepts (PostgreSQL / Oracle / MSSQL)
· Strong documentation skills both of existing systems and of new requirements
· Detail-oriented analytical skills when collecting requirements, keeping in mind industry best practices
· Ability to understand underlying data in existing reports and identify improvements
· Flexibility and available to work on an on-call basis as needed for production support
· A pro-active attitude and ability to work on own initiative with minimal supervision
· Willing to conduct research and learn new technologies
· Exposure to Big Data technologies (MongoDB / Hadoop) will be considered an asset
· Exposure to PostgreSQL column store and sharding will be considered an asset

Interested candidates kindly send their CV to Olga on jobs@spotonconnections.com

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