
Data Engineering Expert for Cloud Pipelines
22 hours ago
We are seeking a highly skilled Data Engineer to design and implement robust cloud pipelines using PySpark. The successful candidate will have experience with AWS cloud services and Python/PySpark, and will be able to translate business requirements into technical solutions.
- Key Responsibilities:
- Develop and maintain applications using Python and PySpark for data manipulation, transformation, and analysis.
- Design and implement ETL pipelines using PySpark, focusing on performance, scalability, and data quality.
- Work closely with cross-functional teams to ensure seamless data integration and pipeline development.
- Requirements:
- 5+ years of experience in data integration and pipeline development.
- Strong understanding of EC2, S3, EMR, Glue, Redshift, and other AWS cloud services.
- Proficiency in PL/SQL, T-SQL, and SQL for data querying, manipulation, and database interactions.
- Benefits:
- Opportunity to work on challenging projects with a team of experienced professionals.
- Competitive salary and benefits package.
- Ongoing training and development opportunities.
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