BI Platform Operations Engineer

We are looking for a hands-on BI Platform Operations Engineer to provide production operational support, administration, maintenance, and technical troubleshooting for our enterprise Business Intelligence platforms and associated AWS services.

The role primarily supports Tableau and Amazon QuickSight / Amazon Quick Suite, including a custom BI-as-a-Service (BIaaS) platform built on top of Amazon QuickSight. The BIaaS platform consists of multiple backend services, RESTful APIs, AWS serverless and data services, and a web-based user interface.

This is primarily a platform engineering and production support role, rather than a dashboard/report development position. The successful candidate will be comfortable troubleshooting across BI, application, API, data, AI-assisted analytics, and cloud infrastructure layers, and working with engineering teams to maintain a reliable and stable production service.

Req#1094783533

Responsibilities

• Provide production operational support, administration, and maintenance for Tableau and Amazon QuickSight/Quick Suite platforms
• Administer and support the custom BIaaS platform, including backend services, APIs, and underlying AWS infrastructure
• Troubleshoot QuickSight assets (Dashboards, Datasets, Data Sources, permissions, sharing) and related access issues
• Diagnose and resolve issues with SPICE ingestion, dataset refreshes, and data source connectivity
• Monitor and troubleshoot supporting AWS services, including Athena, Glue, Lambda, API Gateway, and CloudWatch
• Investigate and resolve API integration issues across RESTful services and Lambda functions
• Analyze logs across application, API, and AWS services to identify root cause of multi-layer issues
• Participate in a rotation-based on-call schedule to support production incidents
• Lead or support incident management, problem management, and root-cause analysis activities
• Build and maintain scripts/automation to support platform operations and administrative tasks

Requirements

• Strong hands-on experience supporting enterprise BI platforms in production environments
• Strong experience with Tableau Server administration and operational support
• Strong hands-on experience with Amazon QuickSight administration, authoring, and production support
• Experience with Amazon QuickSight APIs / AWS SDKs for programmatic management of assets and permissions
• Working knowledge of Amazon Athena and AWS Glue Data Catalog
• Experience with AWS Lambda and Amazon API Gateway, including troubleshooting serverless components
• Strong understanding of RESTful API concepts and experience troubleshooting API integrations
• Hands-on experience with Amazon CloudWatch (logs, metrics, dashboards, alarms) and AWS IAM
• Experience with production incident management, problem management, and root-cause analysis
• Experience with scripting or automation using Python, PowerShell, Bash, or AWS CLI

We offer

• Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid)

• Life and AD&D Insurance (Company Paid)

• Employee Assistance Program (Company Paid)

• Telehealth (Company Paid)

• Short-term Disability (Company Paid)

• Long-Term Disability

• Paid Time Off (including vacation and sick days)

• Registered Retirement Savings Plan (RRSP) with Company match

• Maternity/Parental/Adoption Leave Top-up

• Employee Stock Purchase Program

• Critical Illness Insurance

• Employee Discounts

• Unlimited access to LinkedIn learning solutions

The recruiting efforts for this position are intended to fill an existing vacancy for a new position.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Engineer the Future with a Career at EPAM

This posting includes a base salary range EPAM Canada would reasonably expect to pay the selected candidate. Individual compensation offers within the range are based on a variety of factors, including, but not limited to, experience, credentials, education, training, the demand for the role, skillset, and overall business and local labour market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: CA$83,000 - CA$120,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.

EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA WFAHRCA@epam.com if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.

An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies. EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy. Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.

Hybrid in Canada: Toronto