Data Engineer
Job Summary
Contributing to the development of scalable data solutions, the Middle Data Engineer will work remotely to optimize ETL/ELT pipelines and cloud-based architectures using technologies such as Databricks, Apache Spark, and Snowflake.
Key responsibilities
- Develop and optimize ETL/ELT pipelines and data models for cloud-native data platforms
- Enhance data transformations and modern data architectures using distributed processing technologies
- Collaborate with cross-functional teams to support analytics and business intelligence initiatives
Required qualifications
- Strong proficiency in Python and SQL
- Expertise in Apache Spark and Databricks
- Good knowledge of Snowflake
- Experience with cloud infrastructure, particularly AWS
- Familiarity with CI/CD practices in data engineering
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