Python Big Data Engineer
3 weeks ago
Location: Wilmington, Delaware (Hybrid)
Must-Have Skills and Experience:
- Cloud Data Pipelines: 5+ years of designing and implementing data pipelines in a cloud environment.
- AWS Cloud Solutions: 2+ years of experience migrating/developing data solutions specifically in AWS.
- Databricks or Similar: 1+ year of experience building and implementing data pipelines using Databricks or a similar cloud database platform.
- SQL Expertise: Expert-level SQL skills for writing complex, optimized queries across large datasets.
- Python Programming: Hands-on experience with object-oriented programming in Python.
- Real-Time Data Streaming: Professional experience building real-time data streams using Spark.
- Data Lake Architecture: Knowledge or experience in architectural best practices for building data lakes.
- Design, develop, and maintain scalable and efficient data pipelines in the AWS cloud environment.
- Migrate existing data solutions to AWS or build new ones from scratch.
- Leverage Databricks (or similar) to construct and manage data pipelines.
- Write and optimize complex SQL queries for data extraction, transformation, and loading.
- Utilize Python for data processing and automation tasks.
- Build and maintain real-time data streaming solutions using Spark.
- Apply architectural best practices to the design and implementation of data lakes.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
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