
Data Engineering Leader
2 days ago
We are seeking a highly skilled Data Engineering Leader to join our team. The ideal candidate will have 5+ years of experience in designing and implementing scalable data pipelines on AWS, with expertise in Python and SQL.
The successful candidate will be responsible for leading the design and implementation of cost-effective data solutions, managing and optimizing data storage strategies, and supporting the ingestion and transformation of large datasets for business reporting and AI/ML exploration.
- Design and implement scalable data pipelines on AWS using services like S3, Athena, Glue, RDS, etc.
- Manage and optimize data storage strategies for efficient retrieval and integration with other applications.
- Support the ingestion and transformation of large datasets for reporting and analytics.
- Strong emphasis on AWS platforms.
- Hands-on expertise with AWS services such as S3, Glue, Athena, RDS, etc.
- Proficiency in Python for building data pipelines for ingesting data and integrating it across applications.
- Strong proficiency in SQL.
- Demonstrated ability to design and develop scalable data pipelines and workflows.
The ideal candidate will have prior experience working with big data technologies, including Spark, Kafka, and Scala, for distributed data processing. Experience with on-premises big data platforms and tools for data processing and streaming is also an asset.
- Prior experience in the telecommunications domain, with a focus on large-scale data systems and workflows.
- AWS certifications (e.g., Solutions Architect, Data Analytics Specialty) are a plus.
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field, or equivalent practical experience.
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