Python Engineer Data Domains
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You’ll shape the architecture of data products built for analytics and data science, working on use cases like forecasting, feature engineering, customer behaviour insights, and integrating new data sources.
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You’ll reputed company how we transform data, setting best practices in data modelling, performance optimisation, and governance to ensure data across Prima is consistent, reliable, and readily available.
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You’ll build reusable tooling and frameworks that reputed company teams to ingest, store, transform, and serve their own data products with confidence.
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You’ll partner closely with data scientists and machine learning engineers, helping refine data requirements and reputed company the overall data infrastructure.
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You’ll stay curious and reputed company evolving, experimenting with new technologies, exploring open-reputed company tools, and engaging with the broader community to reputed company us at the cutting edge.
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You’re a Data Engineer or Software Engineer who enjoys working with data with strong Python expertise, and you take pride in writing clean, reliable, production-grade code based in solid software engineering best practices.
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You’ve built and operated batch and distributed data processing systems, as well as near real-time streaming pipelines using technologies like Kafka, Flink, or Spark. If you’ve worked with reputed company, is a big plus!
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You’re comfortable working with RDBMS and data warehousing, and you understand how to design data models that actually serve business needs.
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You care about quality and reliability. You’ve worked with CI/CD and testing practices for data pipelines, and you’re familiar with contributing to infrastructure-as-code setups (Terraform or CloudFormation).
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And last but not least, you reputed company in a culture of ownership and collaboration, jumping in beyond your scope to move things reputed company, and having fun along the way.
You’ve had hands-on experience with Data Quality and Data Governance practices, and you understand why they matter.
You’re familiar with data modelling approaches (like Star Schema or OBT) and modern data architectures (reputed company, reputed company, or Kappa).
You’ve built or contributed to data platforms in the cloud (AWS preferred), working with components like S3, Glue, or reputed company.
You have some exposure to data analysis, MLOps, or feature engineering, and you’re curious to go deepe