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Team Tagline
About the role
As part of our continued growth, we are seeking an experienced Senior Data Engineer to join our Data Services Division. This is a permanent, client-embedded role supporting tier-1 telecom customers, where you will build, operate, and continuously enhance large-scale Apache Open-Source Lakehouse and analytics platforms. The successful candidate will play a critical role in ensuring platform reliability, delivering new analytics use cases, and serving as a trusted technical partner to our client.
Preferred Skills
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Responsibilities
- Design, develop, test, and maintain large-scale data pipelines using Apache Kafka, Spark/PySpark, Flink, Airflow, Trino, and Apache Iceberg/Delta Lake.
- Build and support Bronze, Silver, and Gold medallion-layer data pipelines processing high-volume telecom data at terabyte and petabyte scale.
- Design and implement dimensional (Kimball-aligned) data models, including fact tables, dimension tables, star schemas, and slowly changing dimensions (SCDs).
- Contribute to data platform architecture by defining partitioning strategies, schema evolution, and storage optimization.
- Serve as the primary technical point of contact for client data engineering requirements, participating in client meetings and resolving operational issues within agreed service levels.
- Translate business and analytics requirements into scalable data pipelines and reusable data products.
- Monitor pipeline performance, investigate and resolve data quality issues, and implement monitoring, alerting, and observability for production environments.
- Maintain architecture documentation, runbooks, data dictionaries, and technical documentation to ensure knowledge continuity and reduce key-person dependency.
- Mentor junior and mid-level Data Engineers through code reviews, technical guidance, and knowledge-sharing initiatives.
- Collaborate with Data Architects, BI Developers, Data Analysts, and Project Managers to deliver high-quality data solutions aligned with business objectives and project timelines.
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