
Advanced Data Solutions Engineer
2 days ago
Job Opportunity:
Data Solutions DeveloperWe are seeking a skilled Databricks PySpark Developer to join our team. In this role, you will be instrumental in designing and implementing ETL processes to ensure efficient extraction, transformation, and loading of data from various sources into a data lake and warehouse.
Key Responsibilities:
- ETL Process Design:
- Design and develop ETL processes using Databricks PySpark to extract, transform, and load data from heterogeneous sources.
- Workflow Optimization:
- Optimize ETL workflows for performance and scalability, leveraging Databricks PySpark and Spark SQL to efficiently process large data volumes.
- Error Handling and Monitoring:
- Implement robust error handling and monitoring mechanisms to proactively detect and resolve issues within ETL processes.
- Data Solution Development:
- Design and implement data solutions following the Medallion Architecture principles, organizing data into Bronze, Silver, and Gold layers.
Required Skills:
- Bachelor's degree in Computer Science or a related field.
- Minimum 3 years of experience as an ETL developer, with a strong focus on Databricks PySpark development.
- Proficiency in Python programming, with extensive experience in developing and debugging Databricks PySpark applications.
- In-depth understanding of Spark architecture and internals, with hands-on experience in Spark RDDs, DataFrames, and Spark SQL.
Preferred Qualifications:
- Experience with cloud platforms.
- Experience with data platform tools such as Databricks, Snowflake, and Tableau.
- Demonstrated ability to implement best practices for ETL processes and data management.
Benefits:
This is a great opportunity to work with a talented team and contribute to the development of advanced data solutions.
About Us:
We are committed to fostering a collaborative and innovative work environment that encourages growth and professional development.
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