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Data Engineering Manager
5 days ago
We are seeking an experienced professional to lead a team responsible for designing and managing data mediation systems at Sinch. In this role, you will oversee the development of data pipelines, ensure high performance and data integrity, and drive innovation in automation and efficiency of mediation processes.
Key Responsibilities:- Team Leadership: Lead, mentor, and develop a team of Mediation Data Engineers, fostering a culture of innovation, accountability, and technical excellence.
- Strategic Oversight: Define and execute the roadmap for mediation systems, ensuring scalable, reliable, and efficient data pipelines for real-time and batch data processing.
- Technical Direction: Provide architectural guidance for the design and implementation of mediation systems, including data collection, transformation, and delivery to billing platforms.
- Operational Excellence: Ensure mediation systems are running smoothly and efficiently, meeting service-level agreements for data processing and uptime.
- Cross-Team Collaboration: Collaborate with billing, product management, and other engineering teams to understand requirements and align mediation systems with business objectives.
- Process Automation: Drive automation of manual processes related to mediation and billing data pipelines, reducing errors and improving operational efficiency.
- Data Governance and Compliance: Oversee the implementation of data governance best practices, ensuring compliance with industry standards, including data privacy regulations.
- Project and Resource Management: Manage multiple projects related to mediation and billing, ensuring timely delivery within scope.
- Continuous Improvement: Encourage continuous learning and improvement within the team by staying current with emerging technologies.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 7+ years of experience in data engineering, with at least 3 years in a managerial or team leadership role.
- Proven experience managing teams that develop mediation systems or data pipelines for billing, usage tracking, or high-transaction environments.
- Strong technical background in event-driven architectures and ETL processes, with hands-on experience in tools such as Apache Kafka, Flink, Spark Streaming, Airflow, or NiFi.
- Expertise in managing large-scale data processing pipelines for real-time and batch data.
- Strong programming skills in Python, Java, or Scala, with the ability to guide and review the technical work of team members.
- Experience with cloud platforms like AWS, GCP, or Azure, and familiarity with their data processing services.
- Solid understanding of data governance, including data security and privacy regulations impacting mediation and billing systems.
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