
Data Scientist Role
2 weeks ago
Job Title: Senior Data Processing Specialist
- Role: Design and implement large-scale data engineering solutions using cloud-based technologies.
Key Responsibilities:
Develop production-ready ETL pipelines to model and process TBs of data utilizing Apache Spark, Hadoop, and other relevant technologies.
- Collaborate with cross-functional teams to ensure seamless integration with existing systems.
- Maintain and optimize ETL performance and cost.
Desirable Skills:
- Experience with Azure Databricks.
- Knowledge of DevOps and ETL pipeline orchestration using tools like GitHub actions, Terraform, and Databricks workflows.
- Certifications in Databricks, Azure, AWS, or GCP.
- Familiarity with code version control using Git.
Requirements:
- Proficient in Python, including popular libraries like Pandas and NumPy.
- Strong understanding of SQL and database management.
- Excellent software engineering practices and data structures knowledge.
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