Senior Data Engineer

March 29

🔄 Hybrid – San Francisco

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Logo of Gantri

Gantri

World's first digital manufacturer for design

3D Printing • E-commerce • Furniture • Product Design • Platform

51 - 200

💰 $1.3M Seed Round on 2017-02

Description

• Design, build, and maintain scalable and efficient data pipelines to collect, process, and store data from various sources including our in-house manufacturing software and e-commerce platforms. • 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 your personal projects • Monthly team lunches • And much more

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