
Advanced Data Pipeline Specialist
2 weeks ago
Our organization is seeking an experienced and skilled Data Engineer to play a pivotal role in our team.
The ideal candidate will have a solid background in data engineering, focusing on PySpark, Python, and SQL. Familiarity with Azure Databricks is beneficial.
Main Responsibilities:
- Create, develop, and maintain scalable data pipelines and systems.
- Collaborate closely with data scientists and analysts to ensure high-quality data and timely delivery.
- Implement data integration and transformation processes using PySpark and Python.
- Optimize and maintain SQL databases and queries.
- Work with cross-functional teams to understand data requirements and deliver tailored solutions.
- Monitor and troubleshoot data pipeline issues to guarantee data integrity and performance.
Required Skills and Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience in data engineering.
- Proficiency in PySpark, Python, and SQL.
- Familiarity with cloud platforms such as Azure, AWS, or Google Cloud is desirable.
- Strong analytical skills and attention to detail.
- Excellent communication and teamwork abilities.
About the Role: We offer a dynamic work environment where you can grow professionally and contribute to innovative projects.
Key Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field; 3+ years of experience in data engineering; proficiency in PySpark, Python, and SQL; and excellent communication and teamwork abilities.
How to Apply: If you're passionate about data engineering and want to be part of a talented team, please submit your resume and cover letter.
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