Senior Data Engineer at Miratech

Kyiv, , Ukraine -

Full Time

Start Date

Immediate

Expiry Date

19 Jul, 26

Salary

0.0

Posted On

20 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, AWS, Data modeling, ETL/ELT pipelines, NoSQL, Relational databases, Git, CI/CD, Terraform, CloudFormation, Docker, Kubernetes, Query optimization, Data engineering, Backend systems

Industry

IT Services and IT Consulting

Description

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description 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. 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 Strong proficiency in SQL, including complex joins, window functions, query optimization, and large dataset processing Hands-on experience with AWS hosted relational and NoSQL databases 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 Strong experience with AWS Build and maintain scalable ETL/ELT pipelines for ingestion and transformation Strong Python (or Golang/Java/Scala) Knowledge of Git/GitHub, CI/CD, IaC (CloudFormation/Terraform), and containerization (Docker, Kubernetes) Nice to have: Experience with Apache Spark, Spark Streaming, or Kafka Experience working with IVR platforms or voice systems, or telecom data Experience with Amazon Aurora MySQL and Amazon Redshift. 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 AWS Certified Data Engineer 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.

Responsibilities

The Senior Data Engineer will design, develop, and maintain scalable database layers to support large-scale IVR and contact center platforms. They will collaborate with cross-functional teams to ensure data integrity, performance, and availability for runtime services and analytics.