
Data Engineering Specialist
5 days ago
Job Title:
">We are seeking a highly skilled ETL Developer to join our data engineering team. In this role, you will be responsible for designing and developing efficient data pipelines using Databricks PySpark.
Key Responsibilities:
">- ">
- Design and develop ETL processes to extract, transform, and load data from various sources into our data lake and data warehouse.">
- Optimize data workflows for performance and scalability, leveraging Databricks PySpark and Spark SQL.">
- Implement robust error handling and monitoring mechanisms to proactively detect and resolve issues within ETL processes.">
- Collaborate with data engineers, data scientists, and business intelligence teams to design and implement data solutions.">
Required Skills and Qualifications:
">- ">
- Bachelor's degree in Computer Science or a related field.">
- Minimum of 3 years of experience as an ETL developer, with a strong focus on Databricks PySpark development.">
- Proficiency in Python programming and extensive experience in developing and debugging Databricks PySpark applications.">
- Hands-on experience in working with large-scale data warehousing and ETL frameworks.">
- Strong problem-solving skills and the ability to troubleshoot and resolve ETL process issues.">
- Excellent communication and collaboration skills.">
Benefits:
">- ">
- Opportunity to work with cutting-edge technologies and tools.">
- Collaborative and dynamic work environment.">
- Professional growth and development opportunities.">
Others:
">- ">
- Experience with cloud platforms is a plus.">
- Relevant certifications in Databricks PySpark, Spark SQL, or related technologies are a bonus.">
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