
Senior Data Engineering Specialist
18 hours ago
We are seeking a highly skilled senior data engineer to join our team.
- Design, develop and maintain robust ETL/ELT pipelines using Spark and PySpark.
- Optimize large-scale data processing workflows for performance and reliability.
- Work with AWS services such as Glue, EMR, S3, Lambda and Redshift.
Mandatory skills:
- 6+ years of experience in data engineering.
- Strong proficiency in Spark, PySpark, SQL and Python.
- Familiarity with CI/CD for data pipelines.
- Knowledge of data lake and data warehouse architectures.
The successful candidate will be responsible for designing, developing and maintaining robust data pipelines. This includes optimizing large-scale data processing workflows for performance and reliability and ensuring data quality, governance and security across all pipelines.
This role requires strong technical skills, excellent problem-solving abilities and effective communication skills. If you have a passion for data engineering and experience working with AWS services, we encourage you to apply.
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