
Senior Cloud Data Engineer
5 days ago
As a key member of our Data and Analytics team, you will design and implement robust data pipelines using AWS, Python, and SQL to support business analytics and decision-making across multiple domains.
The role requires expertise in AWS services such as S3, EC2, RDS, Redshift, and AWS Glue, along with proficiency in Python, including solid understanding of libraries and frameworks for data engineering like Pandas, PySpark.
Strong command of SQL is also essential for creating, managing, and optimizing data structures and complex queries. Familiarity with orchestration tools like Airflow and data integration techniques is a plus.
You will ensure the integrity, security, and performance of data processing and storage systems, while creating and managing data lakes and data warehouses that support various analytical needs.
- Design and implement robust data pipelines using AWS, Python, and SQL
- Ensure data integrity and performance of data processing and storage systems
- Optimize data flows and architecture within AWS to enhance performance, scalability, and reliability
- Develop and maintain scalable and efficient ETL processes and APIs for data interaction
- Maintain and enhance data models and databases to support diverse enterprise applications
Key Responsibilities:
To succeed in this role, you must have:
• Experience with cloud-based data platforms and tools.
• Strong understanding of data engineering concepts and practices.
• Ability to work collaboratively with cross-functional teams.
• Excellent communication and problem-solving skills.
What We Offer:
We provide:
• Competitive salary and benefits package.
• Opportunities for career growth and professional development.
• Collaborative and dynamic work environment.
Why You'll Love This Role:
This role offers:
• The chance to work on high-impact projects and initiatives.
• Collaboration with experienced professionals and thought leaders.
• Flexible working arrangements and work-life balance.
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