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Unified Data Warehouse Designer
2 weeks ago
We're seeking a senior-level Data Engineer to join our team and oversee our data pipeline and analytics infrastructure. This is a unique opportunity to drive data-driven decision-making and help shape the future of our organization.
Main Responsibilities:Lead the development and maintenance of our data warehouse architecture, integrating data from diverse sources, including internal systems and IoT devices.
Design and implement high-performance ETL/ELT pipelines to handle vast amounts of structured and unstructured data.
Enforce strict data quality and consistency standards across systems through built-in validation, monitoring, and notification mechanisms.
Integrate Business Intelligence tools like Tableau, Looker, or Power BI to deliver real-time dashboards and reporting capabilities for internal teams.
Construct scalable data models to support advanced analytics, reporting, and machine learning initiatives.
Foster close collaboration with developers, product managers, and business stakeholders to define data requirements and deliver insightful solutions.
Establish and enforce best practices for data governance, security, storage optimization, and performance tuning.
Oversee infrastructure performance, ensuring seamless backups, recoveries, and security implementations.
Requirements:
- A minimum of 3 years' experience in a Data Engineer, Analytics Engineer, or similar role.
- Deep expertise in designing and implementing data pipelines and warehouses (e.g., BigQuery, Redshift, Snowflake).
- Proficiency in SQL, data modeling, and ETL frameworks (e.g., dbt, Airflow, Fivetran).
- Strong problem-solving skills and excellent communication abilities are essential for success in this position.