
Senior Data Engineering Professional
15 hours ago
We are seeking a highly skilled Data Engineer to join our team. The ideal candidate will have strong experience in PySpark, with hands-on expertise in building scalable data pipelines.
Key Responsibilities:
- Design, develop and maintain batch and streaming data pipelines using PySpark.
- Implement complex business logic using Spark SQL, DataFrame and RDD APIs.
- Leverage Apache Airflow, dbt, Delta Lake and other modern data engineering tools to optimize data transformation, quality and performance.
Requirements:
- Strong experience in PySpark and Spark API.
- Hands-on expertise in building scalable data pipelines.
- Proficient programming skills in Python.
- Familiarity with cloud services such as AWS S3, Glue/EMR, Lambda and Step Functions.
- Redshift or other cloud data warehouses experience is a plus.
We offer a dynamic work environment and opportunities for growth and development. If you are passionate about data engineering and want to be part of a forward-thinking team, please apply.
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