Lead Data Systems Engineer

1 week ago


San Francisco, California, United States Unreal Gigs Full time
Job Title: Lead Data Systems Engineer

Unreal Gigs is seeking a highly skilled Lead Data Systems Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, implementing, and optimizing our data systems infrastructure.

Key Responsibilities:
  • Provide technical leadership and guidance to a team of data engineers, fostering a culture of excellence, innovation, and collaboration.
  • Design and implement scalable and reliable data systems architecture to support the organization's data needs.
  • Architect and implement data storage solutions, including relational databases, NoSQL databases, data warehouses, and data lakes.
  • Lead the implementation and optimization of data processing frameworks and technologies, such as Apache Spark or Apache Flink.
  • Develop and maintain data pipeline solutions to ingest, transform, and deliver data from various sources to target systems.
  • Lead efforts to integrate data from diverse sources and systems into data systems infrastructure.
  • Establish and enforce data governance policies and procedures to ensure data quality, security, and compliance with regulatory requirements.
  • Optimize data systems performance through indexing, partitioning, and other techniques.
  • Implement robust monitoring and alerting systems to track data systems performance and health.
Requirements:
  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
  • 8+ years of experience in data engineering or systems engineering, with a focus on data systems technologies.
  • Proven leadership experience, with a track record of successfully leading data systems engineering teams and delivering complex projects.
  • Expertise in data storage technologies such as relational databases, NoSQL databases, data warehouses, and data lakes.
  • Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Flink.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS Glue, Azure Data Factory, or Google Dataflow.
  • Strong understanding of data integration concepts and techniques, with experience integrating data from diverse sources and systems in data systems infrastructure.
Benefits:
  • Competitive salary and comprehensive benefits package.
  • Flexible work arrangements, including remote work options and flexible hours.
  • 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 opportunities for growth and advancement.


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