Apply

Business Intelligence Engineer

Posted 3 months agoViewed

View full description

💎 Seniority level: Middle, 3 to 6 years

📍 Location: Colombia

🔍 Industry: Insurance

🏢 Company: Capgemini👥 10001-350000IT Services and IT Consulting

🗣️ Languages: English

⏳ Experience: 3 to 6 years

🪄 Skills: SQLData MiningMicrosoft Power BITableauData visualization

Requirements:
  • Bachelor's degree required.
  • 3 to 6 years of relevant work experience.
  • Fluent in English.
  • Proficiency in BI tools such as Power BI, Tableau, and Sigma.
  • Proficiency in SQL, Excel, and the Office Suite.
  • Understanding of data visualization principles and techniques.
  • Knowledge of data architecture, governance, and mining practices.
Responsibilities:
  • Design, develop, and deploy innovative analytic solutions.
  • Understand and apply data visualization techniques for effective communication.
  • Set the blueprint for data architecture and governance.
  • Manage data consistency, integrity, usability, and security.
  • Conduct data mining and engineering to convert raw data into actionable insights.
  • Perform statistical and descriptive analysis, identifying anomalies and trends.
Apply

Related Jobs

Apply

📍 Latin America

🧭 Full-Time

💸 62400.0 - 83200.0 USD per year

🔍 Retail Security

🏢 Company: Panoptyc👥 1-10ElectronicsArtificial Intelligence (AI)Information Technology

  • Minimum of 3 years of experience in data engineering or BI development
  • Strong programming skills in Python, SQL, and data processing frameworks
  • Experience with ETL development and data pipeline orchestration tools
  • Proven ability to optimize data models and query performance at scale
  • Experience working with cloud data warehouses (Snowflake, BigQuery, Redshift)
  • Knowledge of data modeling techniques and dimensional modeling
  • Strong troubleshooting and problem-solving skills with a keen attention to detail
  • Ability to work independently in a fast-paced, remote environment
  • Strong verbal and written communication skills for effective collaboration with technical and non-technical stakeholders
  • Design and implement data pipelines to extract, transform, and load data into data warehouses
  • Develop scalable data models and optimize query performance for business intelligence applications
  • Create and maintain BI processes using programming languages and data engineering tools
  • Build automated data validation frameworks to ensure data quality and integrity
  • Develop APIs and interfaces for data access and integration across systems
  • Implement data monitoring tools and performance metrics to ensure system reliability
  • Collaborate with data scientists and analysts to productionize data solutions

PythonSQLBusiness IntelligenceETLSnowflakeAirflowData engineeringData modeling

Posted about 1 month ago
Apply