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Data Engineering Leader
3 weeks ago
We are seeking a highly skilled Senior Data Engineer to join our team. This role is central to designing robust data pipelines, integrating modern data lakehouse components, and supporting our AWS-based infrastructure.
The ideal candidate will have strong software engineering skills in Python, experience building scalable Spark pipelines in PySpark or Scala, and practical knowledge of Spark Streaming for low-latency pipelines.
In addition to these technical requirements, the successful candidate will be able to work effectively with cross-functional teams across different locations, drive technical excellence by improving team processes, and contribute to the growth and maturity of our cloud and data engineering capabilities.
- Main Responsibilities:
- Design and build scalable data ingestion pipelines in AWS
- Work extensively with Databricks, including Unity Catalog, streaming, Delta Lake, and data transformation tools
- Lead technical delivery and implementation of core platform components across raw, normalized, operational, and historical layers
- Collaborate with engineering managers and cross-functional teams
- Required Skills and Qualifications:
- Strong software engineering skills in Python
- Experience building scalable Spark pipelines in PySpark or Scala
- Practical knowledge of Spark Streaming for low-latency pipelines
- Familiarity with Delta Lake and modern data lakehouse architectures
- Hands-on experience with Kubernetes and container orchestration
- Experience with MongoDB and other NoSQL data stores
- Understanding of microservices and event-driven architecture
- Benefits:
- Excellent communication skills
- Ability to work in a collaborative environment
- Commitment to high standards of ethics, quality, and delivery
- Nice to Have:
- Familiarity with Machine Learning, AI models, or Data Science workflows