Data Engineer for Business Insights

Há 1 mês


São Paulo, São Paulo, Brasil Blueground Tempo inteiro
About the Role

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 ResponsibilitiesData Modeling and Analysis

The successful candidate will design, develop, and optimize data models to support reporting, analytics, and business intelligence. They will maintain and update existing data models as the business evolves, ensuring that data is accurate, timely, and relevant.

ETL Development and Data Warehousing

The Analytics Engineer will develop, test, and maintain ETL (Extract, Transform, Load) processes to ensure the accurate and timely flow of data from various sources into data warehouses. They will collaborate with data engineering to ensure the quality and reliability of data pipelines, overseeing the management and optimization of data warehouses to support analytics and reporting requirements.

Reporting and Dashboards

The successful candidate will design and develop dashboards and reports using Google Looker Studio to provide actionable insights to stakeholders. They will ensure that dashboards are user-friendly and meet the needs of various business units, providing a clear and concise view of key performance indicators.

Collaboration and Continuous Improvement

The Analytics Engineer will work closely with business stakeholders to understand their data needs and translate them into technical requirements. They will stay updated on the latest trends and technologies in data engineering and analytics, continuously seeking 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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