Vobi (YC W22)
B2B ⢠Productivity ⢠Construction
Vobi is a comprehensive project management platform designed specifically for the architecture and construction industries. It simplifies project oversight, financial management, and communication between teams and clients, enabling businesses to maximize efficiency and profitability. With tools for budget planning, task management, document organization, and a mobile application for on-the-go access, Vobi provides businesses with a centralized solution to streamline their operations and improve client engagement.
11 - 50 employees
Founded 2019
đ¤ B2B
⥠Productivity
đ° $7M Seed Round on 2022-02
Data Engineer
November 25
đŁď¸đ§đˇđľđš Portuguese Required
Vobi (YC W22)
B2B ⢠Productivity ⢠Construction
Vobi is a comprehensive project management platform designed specifically for the architecture and construction industries. It simplifies project oversight, financial management, and communication between teams and clients, enabling businesses to maximize efficiency and profitability. With tools for budget planning, task management, document organization, and a mobile application for on-the-go access, Vobi provides businesses with a centralized solution to streamline their operations and improve client engagement.
11 - 50 employees
Founded 2019
đ¤ B2B
⥠Productivity
đ° $7M Seed Round on 2022-02
đ Description
⢠Develop and maintain data transformation pipelines using Python and AWS (Lambda, S3, Glue, and Athena) ⢠Work with layered data lake architecture, ensuring data quality and governance ⢠Assist in modeling and structuring data for consumption via Amazon Athena ⢠Monitor pipeline health and resolve incidents related to data flow ⢠Document processes, data flows, and implemented solutions ⢠Collaborate with analysts to understand business needs
đŻ Requirements
⢠Bachelor's degree in Computer Science, Engineering, Information Systems, or related fields (in progress or completed) ⢠Knowledge and/or experience with Python (intermediate) ⢠Knowledge and/or experience with SQL (basic) ⢠Understanding of database concepts and data modeling ⢠Familiarity with code versioning (Git) ⢠Pluses: Experience with AWS (S3, Lambda, Glue, Athena) ⢠Knowledge of columnar data formats (Parquet, ORC) ⢠Familiarity with Data Lake concepts and layered architecture ⢠Experience with orchestration tools (Airflow, Step Functions) ⢠Knowledge of Spark/PySpark
đď¸ Benefits
⢠Competitive compensation relative to the market ⢠Opportunity for equity participation ⢠Casual work environment with many growth opportunities and support to develop your career ⢠Monthly happy hours and semiannual in-person gatherings ⢠Gympass ⢠Birthday day off ⢠Remote and flexible work ⢠Freedom to propose new ideas and take on significant responsibilities
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