Unlock Your Data Potential
1 dia atrás
Job Overview:
The role of a Data Engineer is pivotal in building scalable data infrastructure that empowers informed decision making across the organization. As a key member of our team, you will design and build data systems that fuel analytics, product insights, and business intelligence initiatives.
Key Responsibilities:
- Develop and maintain efficient data pipelines and ETL/ELT processes to ingest, transform, and deliver data from various sources.
- Design and optimize data warehouse solutions for effective storage, retrieval, and processing of large-scale time-series and analytical datasets.
- Implement and maintain robust data quality frameworks, monitoring systems, and alerting mechanisms to ensure data accuracy, completeness, and reliability.
- Collaborate with cross-functional teams to understand data requirements and build infrastructure that enables self-service analytics and advanced data exploration.
Requirements:
- A minimum of 4 years of experience as a Data Engineer or similar role with significant expertise in building and maintaining production data pipelines.
- Expert proficiency in SQL for complex data transformations, performance optimization, and working with large datasets.
- Proficiency in Python or another programming language for data pipeline development, automation, and scripting.
- Experience with modern data stack tools such as dbt, Airflow, Dagster, or similar orchestration and transformation frameworks.
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