Data Engineer
hace 1 semana
Job Description
Responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets by designing, implementing, and optimizing data pipelines in cloud environments, ensuring data integration, transformation, and availability. This is a functional support position, not a development role.
Responsabilities & Requirements
Key Responsibilities:
- Design and maintain data pipelines using Databricks and Data Lake.
- Ensure data quality, security, and efficiency in cloud environments.
- Execute advanced SQL queries for data analysis and validation.
- Automate processes using Python to optimize workflows.
- Develop interactive dashboards and data models in Power BI and Power Query to generate actionable insights.
- Collaborate on data integration and transformation projects focused on advanced analytics.
Requirements
- Bachelor's degree in Computer Science, Information Systems, or related field.
- Minimum 1 year in data engineering and cloud environments.
- Experience in designing and optimizing data pipelines.
Technical Skills:
Advanced SQL.
- Python (preferred) for automation.
- Power BI and Power Query for data visualization and modeling.
- Familiarity with data architecture and security in cloud environments.
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