
Chief Data Architect
2 weeks ago
Job Summary:
We are seeking an experienced Data Engineer to design, develop and support data pipelines and applications using AWS services.
Responsibilities:
- Design and implement robust ETL pipelines using PySpark for performance, scalability and data quality.
- Translate business requirements into technical solutions using AWS cloud services and Python/PySpark.
- Develop and maintain applications using Python and PySpark for data manipulation, transformation and analysis.
- Lead projects including planning, execution, testing and documentation.
Requirements:
- 5+ years experience in data integration and pipeline development.
- Strong understanding of AWS services like EC2, S3, EMR, Glue, Redshift.
- Deep understanding of Python and its data science libraries, along with PySpark for distributed data processing.
- Proficiency in PL/SQL, T-SQL for data querying and database interactions.
- Excellent written and verbal communication skills.
Key Skills:
- AWS Cloud
- PySpark
- Data Engineering
- Python
- Data Science
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