
Data Engineer
2 weeks ago
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Responsibilities:
- Design, build, and maintain efficient and scalable ETL/ELT data pipelines using tools like Azure Data Factory or Apache Airflow.
- Develop, test, and deploy Python-based data processing solutions.
- Work with Snowflake, Databricks, and other data warehousing technologies to support data analytics and reporting needs.
- Write complex and optimized SQL queries for data transformation and extraction.
- Ensure data quality, accuracy, and compliance with internal and external standards.
- Collaborate with data engineers, analysts, and stakeholders to define and implement data workflows.
- Utilize version control (Git) and CI/CD pipelines for code deployment and process automation.
- Optional/Preferred: Support backend services using Django and task queues with Celery.
Qualifications Needed:
• Data Warehousing
- Mid-Senior level
- Full-time
- Information Technology
- Software Development
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