
Senior Data Engineering Specialist
2 days ago
Key Responsibilities:
- Develop and maintain large-scale data engineering systems using Python and SQL.
- Implement distributed data processing and storage solutions using Apache Spark, Hadoop, and cloud-based services.
- Design production-ready ETL pipelines to process TBs of data.
Essential Skills:
- Expertise in designing and developing large-scale data engineering systems.
- Experience with distributed data processing and storage solutions.
- Knowledge of cloud-based services (Azure high preference, AWS, GCP).
Benefits:
Opportunity to work on cutting-edge projects with cross-functional teams.
Professional growth and skill development.
Collaborative and dynamic work environment.
Certifications in Databricks, Azure, AWS, and GCP are highly preferred.
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