Senior Data Engineer

The Senior Data Engineer is responsible for designing developing and supporting databases that power a large-scale IVR and contact center platform. The role is focused on backend database engineering and is aimed at building reliable high-performing and scalable data layers that support both runtime IVR systems with OLTP workloads and analytical platforms and reporting with OLAP workloads.

The engineer works closely with IVR Engineers Application Architects DevOps and Data Analytics teams to ensure correct data storage availability and consistency for call flows routing logic and IVR event data. This role is critical for ensuring platform stability supporting complex backend investigations and enabling long-term scalability of the IVR solution.

Responsibilities

• Design develop and maintain databases supporting IVR and contact center systems
• Support databases used by both runtime IVR services and analytics platforms
• Design and maintain relational data models for IVR event routing and call data
• Write maintain and optimize SQL for application logic configuration changes and investigations
• Ensure database availability integrity performance and scalability in production environments
• Support storage and availability of IVR event logs call lifecycle data and routing outcomes for analytics and reporting
• Monitor and troubleshoot production databases and support incident investigations
• Collaborate with architects application developers DevOps QA and Analytics teams on platform changes and improvements

Qualifications :

• 5 years of experience as a Data Engineer supporting production database systems.
• Hands-on experience with Amazon Aurora MySQL and Amazon Redshift.
• Strong proficiency in SQL including complex joins window functions query optimization and large dataset processing.
• Solid experience in relational data modeling for transactional and analytical systems.
• Experience working with event-based data and backend systems generating high volumes of interaction data.
• Experience supporting OLTP systems in production environments.
• Experience supporting OLTP systems with awareness of high availability replication and read/write access patterns.
• Experience working in cloud-based environments (AWS preferred).

Nice to have:

• Experience with relational and analytical database technologies such as PostgreSQL or cloud-based data warehouses
• Scripting skills in Python or Shell for automation and support tasks
• Background in customer experience analytics

Additional Information :

We offer:

• Culture of relentless performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. 
• Competitive pay and benefits: enjoy a comprehensive compensation and benefits package including health insurance language courses and a relocation program. 
• ForeverRemote work culture: make the most of the flexibility that comes with remote work. 
• Growth mindset: reap the benefits of a range of professional development opportunities including certification programs mentorship and talent investment programs internal mobility and internship opportunities. 
• Global impact: collaborate on impactful projects for top global clients and shape the future of industries. 
• Welcoming multicultural environment: be a part of a dynamic global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. 
• Social sustainability values: join our sustainable business practices focused on five pillars including IT education community empowerment fair operating practices environmental sustainability and gender equality. 

* Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race color religion sex national origin age disability veteran status sexual orientation gender identity or any other protected status under applicable law.

Remote Work :

Yes

Employment Type :

Full-time