Data Developer
4 weeks ago
The Senior Data Developer, Processing is responsible for ingesting, transforming, and storing clean and enriched data from a variety of sources. They ensure that data is ready for use in digital products, data science, reporting, and analytics.
Responsibilities:
Be a courageous safety leader, adhere to and sponsor safety and environmental rules and procedures
Improve data availability, acting as a liaison between source systems and Data Science
Collect, blend, and transform data using ETL tools, database management systems, and code including SQL and Python
Implement data models
Perform aggregation on data across various warehousing models
Qualifications:
Computer Science degree or equivalent education and experience
More than 5 years of Python experience (very recent).
More than 10 years of overall software development experience with CI/CD experience. 2 - 5 years of Cloud experience 1 or more years of experience with containerization (Docker) Professional experience with data ingestion and preparation, including very large data sets of unstructured data for Business Intelligence Strong proficiency in Python development (especially data science packages like PySpark, Pandas, NumPy etc) and SQL for analytics, database development, and data modelling
Validated proficiency working with one or more cloud platforms to implement data-intensive applications i.e. Azure, GCP, or AWS
Considerable experience working with data pipeline orchestration tools like Data Factory, Databricks etc
Solid grasp of Agile methodologies and experience on an agile team
Keen collaborator and clear communicator, adaptable to service needs and operational demands
Passionate about the impact of emerging technologies and learning new skills and ideas
DevOps practice including CI/CD pipeline tool stack is a bonus
Experience with Docker, Azure Function Apps, Azure Stream Analytics, and Event Hubs is desirable
Job Segment: Cloud, Business Intelligence, Computer Science, Developer, Database, Technology
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