Responsibilities
- Creating, designing, and deploying ETL and ELT flows for consuming from third party data sources.
- Building the tools to monitor data pipelines and performing troubleshooting and debugging.
- Collaborating with data scientists and resolving data quality and performance issues.
- Collaborating with software and data engineers.
- Collaborating with Machine Learning Engineers to deploy, monitor, and maintain Machine Learning models in a production environment.
- Leading the integration of Machine Learning models with CI/CD pipelines, ensuring consistent and seamless model versioning, testing, and roll-out.
Requirements
- Minimum of 5 years of software development experience.
- Strong programming skills in Python.
- Experience in MLOps.
- Experience analyzing large datasets and uncovering insights using tools such as Spark, Scala, or PySpark.
- Experience with modern cloud platforms (AWS, Azure, or GCP).
- Experience in DevOps for CI/CD, IaC (Infrastructure as Code).
- Experience with modern ETL tools such as Apache Beam, Kafka, Spark, or similar.
- Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
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