
Data Engineering Professional
4 days ago
As a Data Engineer, you will be responsible for designing and developing scalable data pipelines using Python and PySpark.
You will work with cloud-based services such as GCP and AWS to implement robust data solutions that meet the needs of our business.
Key Responsibilities Include:
- Designing and deploying data pipelines
- Developing ETL/ELT processes
- Implementing cloud-based data solutions
- Monitoring and improving pipeline reliability and speed
- Debugging and resolving data engineering issues
Required Skills & Qualifications:
- Strong proficiency in Python and PySpark
- Working experience with cloud platforms like GCP and/or AWS
- Solid understanding of ETL/ELT, data warehouse and data lake concepts
- Proficient in working with relational databases
- Driven by delivery and results
- Self-starter attitude
- Excitement for automating work
Nice to Have:
- Experience with CI/CD pipelines and Docker
- Understanding of data governance and observability
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