
AWS Cloud Data Engineer
8 hours ago
Designing Data Infrastructure
We are seeking an experienced data engineer to design and develop robust data pipelines using AWS services.
Key Responsibilities:
- Create efficient ETL processes for large datasets, focusing on scalability and data quality.
- Develop applications using Python and PySpark for data manipulation, transformation, and analysis.
- Manage projects, including planning, execution, testing, and documentation.
- Translate business requirements into technical solutions using AWS cloud services and Python/PySpark.
- Collaborate with team members and stakeholders to deliver high-quality results.
Requirements:
- 5+ years of experience in data integration and pipeline development.
- Strong understanding and hands-on experience with 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, manipulation, and database interactions.
- Excellent written and verbal communication skills.
Technical Skills:
- AWS Cloud Services: EC2, S3, EMR, Glue, Redshift
- Data Science Libraries: Python, PySpark, PL/SQL, T-SQL
About the Role:
This is a highly challenging role that requires strong technical expertise, excellent problem-solving skills, and effective communication. If you have experience in designing and developing data infrastructure, this is an ideal opportunity to take your career to the next level.
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