Senior Data Engineer

4 weeks ago


San Francisco, California, United States Gantri Full time
Job Title: Senior Data Engineer

Gantri is a pioneering digital manufacturer of creative lighting solutions. We empower independent designers, studios, and influencers to create unique, sustainable lighting designs and sell directly to consumers. Our vertically integrated organization operates across manufacturing, hardware, software, product design, and marketing.

We believe data is the key to driving business decisions and delivering exceptional products. As our first-ever Data Engineer, you'll have the opportunity to shape our data strategy and architecture. Your responsibilities will include designing and implementing scalable data pipelines, building robust data warehousing solutions, and enabling advanced analytics capabilities.

Key Responsibilities:

  • Design, build, and maintain scalable and efficient data pipelines to collect, process, and store data from various sources.
  • Develop and maintain data warehouse architecture to ensure reliability, accuracy, performance, and accessibility of data for analytics and reporting purposes.
  • Collaborate with software engineers to integrate data collection and instrumentation into existing and new systems, ensuring data quality and consistency.
  • Create data models and schema designs to support reporting, analytics, and visualization needs of different teams within the organization.
  • Implement data governance and security best practices to protect sensitive information and ensure compliance with regulations.
  • Choose, design, and develop data visualization dashboards and tools to enable stakeholders to monitor key performance metrics and make data-driven decisions.
  • Conduct exploratory data analysis and provide insights to support strategic decision-making and identify opportunities for business improvement.
  • Stay current with industry trends, tools, and technologies related to data engineering, analytics, and visualization, and recommend and implement improvements to our data infrastructure and processes.

Requirements:

  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • Proven experience (5 years+) as a data engineer or similar role, with a strong track record of building and maintaining data infrastructure and pipelines.
  • Proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL) and data warehousing solutions (e.g., Redshift, BigQuery).
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with services like S3, EC2, EMR, or equivalent.
  • Strong programming skills in languages such as Python, Java, or Scala, and experience with data processing frameworks like Apache Spark or Apache Flink.
  • Experience with data visualization tools such as Tableau, Looker, or Power BI, and proficiency in data manipulation and visualization techniques.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and translate business requirements into technical solutions.
  • Strong problem-solving skills and attention to detail, with a passion for continuous learning and improvement.
  • Bonus: Experience working in a direct-to-consumer or manufacturing industry, with knowledge of manufacturing processes and systems.
  • Bonus: Experience with machine learning, predictive analytics, or data science techniques.

Benefits:

  • Competitive salary and equity.
  • Medical, dental, and vision insurance.
  • 401k.
  • Paid vacation days and paid holidays.
  • Work from X benefits.
  • Access to 3D printers for personal projects.
  • Monthly team lunches.
  • And much more.

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