Cloud Data Engineer

Job Description

Company Overview: Welcome to the forefront of cloud data engineering! At our company, we're dedicated to leveraging the power of cloud technology to drive data-driven innovation. Our mission is to develop scalable and robust cloud data solutions that enable organizations to harness the full potential of their data. Join us and be part of a dynamic team committed to shaping the future of cloud data engineering.

Position Overview: As a Cloud Data Engineer, you'll play a pivotal role in designing, building, and maintaining our cloud-based data infrastructure and systems. Working closely with cross-functional teams of data engineers, architects, and business stakeholders, you'll ensure the reliability, scalability, and efficiency of our cloud data solutions. If you're passionate about cloud technology and eager to drive innovation through scalable data solutions, we want you on our team.

Requirements

Key Responsibilities:

Cloud Data Infrastructure Design: Design and architect scalable and resilient cloud-based data infrastructure solutions using leading cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.

Data Ingestion and Integration: Develop and maintain data ingestion pipelines to collect and integrate data from diverse sources into cloud storage and processing services.

Data Processing and Transformation: Implement data processing and transformation workflows using cloud-native services such as AWS Glue, Google Dataflow, or Azure Data Factory.

Data Storage and Management: Manage cloud-based data storage solutions, including data lakes, data warehouses, and NoSQL databases, optimizing for performance, cost, and scalability.

Data Governance and Security: Implement data governance policies and security controls to ensure compliance with regulatory requirements and protect sensitive data in the cloud.

Performance Optimization: Optimize cloud data solutions for performance, scalability, and cost-effectiveness, leveraging cloud-native services and technologies.

Monitoring and Maintenance: Monitor cloud data infrastructure and systems for performance, reliability, and security, proactively identifying and addressing issues to minimize downtime and optimize resource utilization.

Documentation and Collaboration: Document cloud data architecture, processes, and best practices, and collaborate with cross-functional teams to ensure alignment and transparency.

Qualifications:

Bachelor's degree or higher in Computer Science, Engineering, or related field.

Strong background in data engineering, with hands-on experience in designing, building, and optimizing cloud-based data solutions.

Proficiency in cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure, and experience with cloud services such as S3, GCS, Azure Blob Storage, and others.

Experience with cloud data processing and analytics services such as AWS Glue, Google Dataflow, Apache Spark on cloud platforms, or Azure Data Lake Analytics.

Familiarity with cloud data storage solutions such as AWS S3, Google Cloud Storage, Azure Blob Storage, AWS Redshift, Google BigQuery, Azure SQL Data Warehouse, or others.

Strong problem-solving abilities and analytical thinking, with a keen attention to detail and a passion for tackling complex technical challenges.

Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.

Benefits

Competitive salary: The industry standard salary for Cloud Data Engineers typically ranges from $140,000 to $210,000 per year, depending on experience and qualifications. Exceptional candidates may be eligible for higher compensation packages.

Comprehensive health, dental, and vision insurance plans.

Flexible work hours and remote work options.

Generous vacation and paid time off.

Professional development opportunities, including access to training programs, conferences, and workshops.

State-of-the-art technology environment with access to leading cloud platforms and tools.

Vibrant and inclusive company culture with team-building activities and social events.

Opportunities for career growth and advancement within the company.

Exciting projects with real-world impact across diverse industries.

Chance to work alongside top talent and industry experts in the field of cloud data engineering.