Data Engineer

Há 4 dias


São Paulo, São Paulo, Brasil Blueground Tempo inteiro
Analytics Engineer Pleno

We are seeking a highly skilled and detail-oriented Analytics Engineer to join our growing team at Blueground. The ideal candidate will play a crucial role in transforming raw data into actionable insights, enabling the company to make informed decisions that drive business growth.

Key Responsibilities:
  • Data Modeling: Design, develop, and optimize data models to support reporting, analytics, and business intelligence.
  • Maintain and update existing data models as the business evolves.
  • ETL Development: Develop, test, and maintain ETL (Extract, Transform, Load) processes to ensure the accurate and timely flow of data from various sources into data warehouses.
  • Collaborate with data engineering to ensure the quality and reliability of data pipelines.
  • Data Warehousing: Oversee the management and optimization of data warehouses to support analytics and reporting requirements.
  • Ensure data warehouses are scalable, reliable, and secure.
  • Reporting & Dashboards: Design and develop dashboards and reports using Google Looker Studio to provide actionable insights to stakeholders.
  • Ensure that dashboards are user-friendly and meet the needs of various business units.
  • Collaboration: Work closely with business stakeholders to understand their data needs and translate them into technical requirements.
  • Continuous Improvement: Stay updated on the latest trends and technologies in data engineering and analytics.
  • Continuously seek opportunities to improve data processes, tools, and methodologies.
Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Engineering, Economics, Statistics or a related field.
  • 2+ years of experience in a data engineering, analytics engineering, or a similar role.
  • Proficiency in SQL and experience with data modeling tools.
  • Knowledge in Python for data analysis and extraction.
  • Experience with ETL tools (e.g., Airflow).
  • Strong understanding of data warehousing concepts and technologies (e.g. BigQuery or similar).
  • Experience with Google Looker Studio or similar tool.
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud) is a plus.
  • Familiarity with Scrapers, APIs, DBT and Git are a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.

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