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Senior Data Engineer
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- The ideal candidate will have extensive experience in building, managing and optimizing data pipelines, leveraging Infrastructure as Code (IaC) methodologies.
- You should possess strong technical skills in SQL, Python, Spark, and PySpark and have hands-on experience with AWS and Databricks platforms.
- You will be responsible for implementing and maintaining data solutions on AWS and Databricks platforms.
- Design, build, and maintain scalable and reliable data pipelines using Infrastructure as Code (IaC) principles and Databricks along with Datadog.
- Develop and optimize big data processing using Spark and PySpark within the Databricks environment.
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