Data Systems Architect

4 weeks ago

New York, New York, United States Unreal Gigs Full time
Unreal Gigs Data Systems Engineer

At Unreal Gigs, we're pushing the boundaries of data systems engineering. As a Data Systems Engineer, you'll be part of a dynamic team that's passionate about harnessing the power of data to drive innovation and transformation.

Key Responsibilities:
  • Data Systems Architecture: Design and architect scalable and resilient data systems infrastructure to meet business requirements and support data processing and analytics needs.
  • Data Pipeline Development: Develop and maintain data pipelines to ingest, process, and transform large volumes of data from various sources into usable formats for analysis and reporting.
  • Data Storage and Management: Implement and manage data storage solutions, including databases, data lakes, and distributed file systems, ensuring optimal performance and reliability.
  • Data Integration: Integrate data from diverse sources, including internal databases, external APIs, and third-party data providers, ensuring data consistency and integrity.
  • Performance Optimization: Optimize data systems performance for speed, scalability, and cost-effectiveness, leveraging caching, indexing, partitioning, and other techniques.
  • Data Security and Governance: Implement data security controls and governance policies to protect sensitive data and ensure compliance with regulatory requirements.
  • Monitoring and Maintenance: Monitor data systems for performance, availability, and reliability, proactively identifying and addressing issues to minimize downtime and ensure data integrity.
  • Documentation and Collaboration: Document data systems 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 data systems infrastructure.
  • Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark, Apache Flink, or Apache Beam.
  • Experience with distributed computing technologies and concepts, including Hadoop, MapReduce, and distributed file systems (e.g., HDFS).
  • Familiarity with database technologies such as SQL, NoSQL, and NewSQL databases, as well as cloud-based data storage solutions.
  • 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 Data Systems Engineers typically ranges from $140,000 to $210,000 per year, depending on experience and qualifications.
  • 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 cutting-edge tools and resources.
  • 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 data systems engineering.

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