Job Description

Salary is 125k to 135k

This role focuses on building efficient data pipelines, implementing best practices in data engineering, and ensuring system reliability and performance. The Data Engineer works closely with data scientists, analysts, and software engineers to deliver optimized data solutions for both batch and real-time processing.



Key Responsibilities:





  • Design, develop, and maintain end-to-end data pipelines and ETL/ELT workflows using Python, SQL, and modern orchestration tools (e.g., Airflow, dbt).




  • Architect and optimize data storage solutions, including data lakes and data warehouses, using Databricks, Delta Lake, and cloud-native services.




  • Build scalable data processing solutions leveraging Databricks notebooks, jobs, and clusters for both batch and streaming data workloads.




  • Develop and manage Databricks workflows using Spark (PySpark,...

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