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Description:
Design and architect scalable and resilient cloud-based data infrastructure solutions using leading cloud platforms like AWS, Google Cloud Platform, or Microsoft Azure.
Develop and maintain data ingestion pipelines to collect and integrate data from diverse sources into cloud storage and processing services.
Implement data processing and transformation workflows using cloud-native services such as AWS Glue, Google Dataflow, or Azure Data Factory.
Manage cloud-based data storage solutions, including data lakes, data warehouses, and NoSQL databases, optimizing for performance, cost, and scalability.
Implement data governance policies and security controls to ensure compliance with regulatory requirements and protect sensitive data in the cloud.
Optimize cloud data solutions for performance, scalability, and cost-effectiveness, leveraging cloud-native services and technologies.
Monitor cloud data infrastructure and systems for performance, reliability, and security, proactively identifying and addressing issues to minimize downtime and optimize resource utilization.
Document cloud data architecture, processes, and best practices, and collaborate with cross-functional teams to ensure alignment and transparency.
Requirements:
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 like 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 like 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 ranging from $140,000 to $210,000 per year, with exceptional candidates 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.