Senior Data Science Developers

Must HavesAzure DatabricksPython,Azure Data Factory, Power BIDescriptionData Science Developer – Deliverables
The candidates will perform Data Science Developer work by creating, enhancing, maintaining, supporting, and sustaining existing pipelines, analytics models, and data products
Specific DeliverablesDeliverables Expected To Be Produced Could Include
Creating, enhancing, maintaining, and supporting structures for storage of data in formats that are suitable for consumption in analytics solutions.
Automation of data pipelines used to ingest, prepare, transform, and model data for use in analytics products.
Creating, enhancing, maintaining, and supporting dashboards and reports.
Creating, enhancing, maintaining, and supporting analytics environments and implementing new technology to improve performance, simplify architecture patterns, and reduce cloud hosting costs.
Knowledge transfer sessions and documentation for technical staff related to architecting, designing, and implementing continuous improvement enhancements to analytics solutions. These sessions will be held as needed and on a case by case basis that involve walkthroughs of documentation, code, and environment setups.
SkillsExperience and Skill Set RequirementsData Science Developer – Evaluation CriteriaData Storage and Preparation – 35%
The candidate must demonstrate their experience with Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse structures in real world implementations
Data Pipelines – 35%
The candidate must demonstrate their experience with automating data pipelines using appropriate Microsoft Azure Platform/Technologies (SQL,Python, Databricks and Azure Data Factory)
Data Analytics – 15%
The candidate must demonstrate their experience with Power BI reports and dashboards
Knowledge Transfer – 15%
The candidate must demonstrate experience in conducting knowledge transfer sessions and building documentation for technical staff related to architecting, designing, and implementing end to end analytics solutions
Hybrid:3 days per week in the office#J-18808-Ljbffr