CloudXcel is a technology-driven company dedicated to providing innovative cloud solutions to businesses worldwide. Our mission is to empower organizations to harness the full potential of their data in the cloud, unlocking insights and driving transformation. With a commitment to cutting-edge technologies and a dynamic, inclusive work environment, we foster growth, creativity, and innovation.
Overview:
CloudXcel is seeking a talented and highly motivated Cloud Data Engineer with expertise in Python to join our team. In this role, you will work closely with cross-functional teams to design, develop, and optimize cloud-based data pipelines and infrastructure. The ideal candidate is passionate about data engineering, proficient in Python, and eager to solve complex challenges in a fast-paced, collaborative environment.
Key Responsibilities:
1. Design, develop, and maintain scalable cloud-based data pipelines to collect, process, and analyze large datasets.
2. Build and optimize ETL workflows to ensure efficient data integration and processing.
3. Collaborate with data scientists, analysts, and engineers to support data modeling, analytics, and reporting needs.
4. Leverage Python to implement robust data solutions, including automation and optimization tasks.
5. Develop and maintain cloud data infrastructure using platforms like AWS, Azure, or Google Cloud Platform (GCP).
6. Ensure data quality, security, and compliance with industry best practices and standards.
7. Monitor and troubleshoot data pipelines to ensure reliability and performance.
8. Stay updated on the latest advancements in cloud data engineering and recommend new tools or technologies as needed.
Requirements:
1. Strong proficiency in Python for data engineering tasks.
2. Experience with cloud platforms (e.g., AWS, Azure, or GCP), including services like S3, Lambda, BigQuery, or Databricks.
3. Solid understanding of ETL processes, data modeling, and data warehousing.
4. Familiarity with SQL and relational databases.
5. Knowledge of big data technologies, such as Spark, Hadoop, or Kafka, is a plus.
6. Strong problem-solving skills and the ability to work in a collaborative team environment.
7. Excellent verbal and written communication skills.
8. Bachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent professional experience.
Preferred Qualifications:
1. Hands-on experience with IaC (Infrastructure as Code) tools like Terraform or CloudFormation.
2. Familiarity with API integration and RESTful services.
3. Knowledge of containerization and orchestration tools like Docker and Kubernetes.
4. Experience in CI/CD pipelines for data engineering workflows.
5. Understanding of data security principles and compliance standards (e.g., GDPR, HIPAA).
Benefits:
1. Work on cutting-edge projects that solve real-world challenges.
2. Collaborate with a talented and dynamic team of professionals.
3. Opportunities for professional growth and continuous learning.
4. Flexible work arrangements, including hybrid or remote options (depending on company policy).
5. Competitive compensation and benefits package.
How to Apply
If you are passionate about leveraging cloud technologies and Python to build transformative data solutions, we’d love to hear from you!
To apply, please submit:
1. Your resume
2. Links to any projects, GitHub repositories, or portfolios that showcase your skills
At CloudXcel, we don’t just work with data—we empower it to drive innovation and success. Join us in shaping the future of cloud data engineering!
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