
AWS Cloud Data Engineer
1 week ago
Job Title:
A Data Engineer is needed to design, develop and support data pipelines and applications using AWS services.
- Key Responsibilities:
- Design and implement robust ETL pipelines focusing on performance, scalability and data quality.
- Develop and maintain data manipulation and analysis applications using Python and PySpark.
- Translate business requirements into technical solutions using AWS cloud services and Python/PySpark.
- Lead and manage projects from planning to execution, testing and documentation.
- Collaborate with team members to deliver high-quality results.
Requirements:
- 5+ years of experience in data integration and pipeline development.
- Strong understanding of AWS services like EC2, S3, EMR, Glue and Redshift.
- Deep knowledge of Python and its data science libraries along with PySpark for distributed data processing.
- Proficiency in PL/SQL and T-SQL for data querying and database interactions.
- Excellent written and verbal communication skills.
Preferred Qualifications:
- Databricks and Redshift experience.
- Snowflake and Palantir Foundry experience.
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