
Data Engineer
2 days ago
We are seeking a highly skilled Data Engineer to join our team and contribute to the development of scalable data pipelines.
This role is ideal for individuals with expertise in data processing, ETL processes, and cloud services. If you have a strong background in Python, SQL, Snowflake, and Spark, we encourage you to apply.
In this position, you will design and develop efficient data processing pipelines using Spark, leverage Azure Databricks and Datalake for data storage, and collaborate with architects and business stakeholders to understand reporting requirements.
The successful candidate will have proven experience as a Data Engineer, proficiency in Python with Pandas and Numpy, and experience with SQL, Snowflake, and Spark. Familiarity with Azure cloud services is also essential.
Key Responsibilities:
- Design and develop scalable data pipelines using Spark.
- Leverage Azure Databricks and Datalake for data storage and processing.
- Collaborate with architects and business stakeholders to understand reporting requirements.
Qualifications:
- Proven experience as a Data Engineer with expertise in data pipelines and ETL processes.
- Proficiency in Python with Pandas and Numpy.
- Experience with SQL, Snowflake, and Spark.
- Familiarity with Azure cloud services.
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