
Cloud Data Engineer
5 hours ago
Achieve comprehensive data analysis and strategic decision-making by designing and implementing robust data pipelines using AWS, Python, and SQL.
In this role, you will:
- Design and implement scalable data warehousing solutions in AWS to support business analytics activities.
- Ensure data integrity, security, and performance by creating and managing data lakes and warehouses.
- Develop and optimize ETL processes and APIs using AWS services and Python libraries like Pandas and PySpark.
- Collaborate with cross-functional teams to address technical requirements and improve systems and processes.
Requirements Include:
- Expertise in AWS services such as S3, EC2, RDS, and Redshift.
- Proficiency in Python with libraries like Pandas and PySpark.
- Strong command of SQL for creating and managing data structures.
- Familiarity with orchestration tools like Airflow and data integration techniques.
- Knowledge of data modeling and database design.
- Ability to write clean and maintainable code.
Empower data-driven decision-making by joining our team of experts in cloud data engineering.
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