
Engineer Your Future with a Career in Cloud Data Engineering
21 hours ago
We are looking for a seasoned Senior Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, excellent technical skills, and the ability to collaborate effectively with cross-functional teams.
- Key Responsibilities:
- Design, develop, and maintain large-scale data pipelines and ETL processes using cloud services.
- Write efficient, reusable, and scalable code in Python.
- Work with SQL databases for data modeling, queries, and performance optimization.
- Implement and optimize solutions using AWS services such as S3, Lambda, Glue, Redshift, RDS, and EC2.
- Ensure data security, reliability, and compliance within cloud environments.
- Collaborate with data scientists, analysts, and application developers to enable advanced analytics and reporting.
- Troubleshoot, optimize, and monitor data workflows and cloud resources.
- Maintain documentation of system architecture, processes, and best practices.
- Must-Have Skills:
- AWS Certification (Solutions Architect, Developer, or Data Analytics – Associate/Professional).
- Hands-on experience with AWS cloud services (S3, Lambda, EC2, RDS, Glue, Redshift, IAM).
- Strong programming skills in Python (data handling, APIs, automation).
- Solid knowledge of SQL (queries, joins, stored procedures, performance tuning).
- Strong problem-solving and debugging skills.
- Good-to-Have Skills:
- Experience with data warehousing and big data frameworks.
- Familiarity with containerization (Docker, Kubernetes).
- Knowledge of CI/CD pipelines and infrastructure as code (Terraform/CloudFormation).
- Exposure to machine learning pipelines in AWS (SageMaker).
- Work on innovative, high-impact projects with a team of top-tier professionals.
- Continuous learning opportunities and professional growth.
- Flexible work environment with a supportive company culture.
- Competitive salary and comprehensive benefits package.
- Free healthcare coverage.
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