Job Summary
A company is looking for a Data Engineer.
Key Responsibilities
- Design and implement data processing pipelines for real-time and batch data
- Utilize Python and Spark for ETL workflows and large-scale data loads
- Ensure data quality and accuracy across various data platforms and integration processes
Required Qualifications
- 5+ years of experience in heavy-volume data processing and data platforms
- 3+ years of proficiency in Python and Spark
- 3+ years of hands-on experience with ETL workflows using Spark and Python
- Experience with SQL/NoSQL databases and data lakes
- Familiarity with Kafka streams and Databricks or equivalent data platforms
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