AI Data Architect

hace 4 semanas


Xico, México Rocket Code (Al-I Digital Solutions S.A. De C.V.) A tiempo completo

About Rocket Code (Al-I Digital Solutions S.A. De C.V.)

Rocket Code is a cutting-edge technology company that is revolutionizing the AI landscape. We are a team of passionate individuals who are dedicated to making AI work for our clients. Our AI-first approach is transforming the tech industry, and we are seeking talented professionals to join us on this exciting journey.

Data Engineer Responsibilities:

  • Define Configuration Specifications and Business Analysis Requirements: Develop and maintain configuration specifications and business analysis requirements to ensure seamless data flow and analysis.
  • Perform Quality Assurance: Conduct thorough quality assurance checks to ensure data accuracy and integrity.
  • Define Reporting and Alerting Requirements: Design and implement reporting and alerting systems to provide real-time insights and notifications.
  • Own and Develop Relationship with Clients: Foster strong relationships with clients to deliver exceptional knowledge and insights about their company and key performance indicators (KPIs) using their data.
  • Help Design, Document, and Maintain System & Data Processes: Collaborate with cross-functional teams to design, document, and maintain system and data processes.
  • Report on Common Sources of Technical Issues or Questions and Make Recommendations to the Product Team: Identify and report on common technical issues or questions and provide recommendations to the product team to improve system performance.
  • Communicate Key Insights and Findings to the Product Team: Effectively communicate key insights and findings to the product team to inform product development and improvement.
  • Constantly Be on the Lookout for Ways to Improve Monitoring, Discover Issues, and Deliver Better Value to Our Customers: Continuously monitor and improve system performance to deliver exceptional value to our customers.
  • Constantly Be on the Lookout for New Technologies to Deliver the Best Value to Our Customers: Stay up-to-date with the latest technologies and trends to deliver innovative solutions to our customers.

    Data Engineer Qualifications/Skills:

    • Experience in Analyzing Data to Draw Business-Relevant Conclusions and in Data Visualization Techniques and Tools: Proven experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools.
    • Basic Knowledge in Generating Process Documentation: Strong written and verbal communication skills, including technical writing skills.
    • Proven Experience in Requirements and Testing: Proven experience in requirements and testing.
    • Education, Experience: Analysis of data, Python/R programming languages, databases experience with relational and non-relational databases (SQL, Postgresql, Mysql, MongoDb, Firebase, DynamoDB, etc.), visualization tools (Tableau, QuickSight, PowerBI or Matplotlib/seaborn in Python), mathematical statistics (understand fundamental statistical concepts, probability, distributions, regression, and hypothesis testing), workflow orchestration platform (Airflow, Luigi, Apache NiFi or Step Functions), machine learning, big data (familiarity with big data concepts and tools such as Hadoop and Spark desirable).

    Benefits:

    • Home Office: Flexible work arrangement with the option to work from home.
    • Flexible Hours: Flexible work hours with active communication through Slack.
    • Contests and Other Rocket Activities: Opportunities to participate in contests and other company activities.
    • Career Plan to Develop Talent and Potential: Career development opportunities to grow and develop talent and potential.

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