Posted:3 weeks ago|
Platform:
Work from Office
Full Time
Your Impact
* Run data pipelines in monthly cadence, owning the quality of the output
* Clean data and maintain pipelines, and make changes to safeguard data quality and reduce execution risks
* Work closely with data science team to develop new features and enable access for ad hoc research
* Optimise running of slow or resource heavy pipelines, minimising unnecessary computation and reducing technical debt
* Aid in transition from pandas pipelines to snowflake environment
* Own and understand the datasets, their context and logic, and share knowledge with the data science team
* Perform exploratory research on datasets, uncovering new signals for the team to incorporate in models
* Develop quality dashboards and expose our data science products to stakeholders
* Collaborate with infrastructure team to develop and enable new MLOps capabilities and workflows
* Collaborate with Data Science team to deploy, monitor and maintain ML models, through implementing pipelines and workflows
Minimum Qualifications
* 5+ years of relevant experience with a Bachelors Degree in Computer Science or related subject
* Fluent in Python and SQL, and versed in debugging in an IDE such as VSCode
* Substantial experience working in Snowflake (or another cloud-based DB, e.g. BigQuery)
* GitHub/Bitbucket and version control, and a strong sense of coding standards and quality
* Experience building dashboards in tableau and python (e.g. with Streamlit or Flask)
* Good communication and planning skills, and ability to share knowledge across the team
* Demonstrated data wrangling and mining skills, including in real-time hackathon-like settings.
Preferred Qualifications
* Experience working in supply chain or demand planning related data (bookings, manufacturing, backlogs and lead times, etc.)
* Experience with Agile team and project planning
* Understanding of CI/CD pipelines and orchestration technologies such as Docker, Kubernetes, Openshift
* Experience with Spark/Pyspark, Polars
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