Cloud Data Architect

4 days ago

New York, New York, United States Unreal Gigs Full time

At Unreal Gigs, we're seeking a highly skilled Cloud Data Engineer to join our team. As a Cloud Data Engineer at Unreal Gigs, you'll play a vital role in designing, developing, and managing cloud-based data infrastructures that support analytical and operational needs across the organization. You'll collaborate with data scientists, analysts, and software engineers to build data pipelines and storage solutions that are secure, efficient, and scalable.

Key Responsibilities:

  • Design and Build Data Pipelines: Create and manage scalable data pipelines that support ETL (Extract, Transform, Load) processes. You'll develop automated solutions to handle data ingestion, transformation, and integration in cloud platforms such as AWS, GCP, or Azure.
  • Develop and Maintain Data Architectures: Architect and maintain cloud-based data storage solutions, such as data lakes and warehouses, ensuring they align with business needs and best practices.
  • Collaborate on Data Strategy and Solutions: Work closely with data scientists, business analysts, and application developers to understand data requirements and implement solutions that support analytics and machine learning models.
  • Ensure Data Security and Compliance: Implement and monitor security measures that protect data privacy and comply with industry standards (e.g., GDPR, HIPAA). You'll manage data access controls and audit logs to safeguard sensitive information.
  • Optimize Data Processing Workflows: Improve the performance of data processing workflows by optimizing resource allocation and parallel processing techniques. You'll work to reduce latency and enhance the scalability of data systems.
  • Automate and Streamline Data Operations: Develop automation scripts and tools using languages such as Python or Java to streamline data processes and reduce manual intervention.
  • Monitor and Troubleshoot Data Pipelines: Use monitoring tools and techniques to ensure the health and performance of data pipelines. You'll identify and troubleshoot issues promptly to maintain smooth data flow and system uptime.

Requirements:

  • Cloud Data Expertise: Strong experience with cloud data platforms (AWS, GCP, Azure) and data processing tools like Apache Spark, Apache Beam, or AWS Glue.
  • Programming and Scripting: Proficiency in Python, Java, or Scala for data manipulation and pipeline automation.
  • ETL and Data Pipeline Management: Experience in developing and managing complex ETL workflows that handle large data volumes.
  • Data Security and Compliance Knowledge: Familiarity with implementing data security measures and ensuring compliance with industry standards.
  • Collaboration and Problem-Solving: Strong ability to work with cross-functional teams and troubleshoot data-related issues.

Benefits:

  • Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
  • Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
  • Work-Life Balance: Flexible work schedules and telecommuting options.
  • Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
  • Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.

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