
Data Processing Specialist
1 week ago
Job Summary
We are seeking a skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data processing systems.
This role involves working with distributed computing frameworks, such as PySpark and SQL, to process and analyze complex data sets. You will also work on developing and implementing data pipelines, data lakes, and other data-related infrastructure.
- Key Responsibilities:
- Design and develop data processing systems using PySpark and SQL
- Develop and implement data pipelines using Databricks notebook and DLT Streaming table
- Maintain and optimize existing data processing systems
- Collaborate with cross-functional teams to identify and implement data-driven solutions
Requirements:
To succeed in this role, you will need:
- Strong Proficiency: PySpark, SQL, Databricks notebook, Databricks Job, DLT Streaming table, DLT Materialized View, DLT Pipeline, Azure Data lake, CI/CD pipeline, Databricks Asset Bundle, Python
- Proficiency: Databricks Unity Catalog
- Sound Knowledge: OLAP and OLTP architecture, Medallion architecture, Python
Benefits:
We offer a competitive salary and benefits package, including:
- Opportunity to work with cutting-edge technologies
- Collaborative and dynamic work environment
- Professional development opportunities
How to Apply:
If you are a motivated and detail-oriented individual who is passionate about data engineering, please submit your application. We look forward to hearing from you
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