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Data Systems Engineer
3 months ago
Position Overview: As a Data Systems Engineer, you'll be at the forefront of designing, building, and optimizing our data systems infrastructure. Working closely with cross-functional teams of data scientists, software engineers, and business analysts, you'll ensure the reliability, scalability, and efficiency of our data systems. If you're passionate about data engineering and eager to tackle complex challenges in data infrastructure, we want you on our team.
Requirements
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.
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 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. 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 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.
Join Us: Ready to shape the future of data systems engineering? Apply now to join our team and be part of an exciting journey of innovation and discovery
