Senior Data Science Developers

Job summary

The candidate will create, enhance, and maintain data pipelines, analytics models, and data products. They are also responsible for automating data ingestion and providing knowledge transfer sessions for technical staff.

Job details

Must Haves Azure Databricks Python,Azure Data Factory , Power BI Description Data 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 Deliverables Deliverables 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. Skills Experience and Skill Set Requirements Data Science Developer – Evaluation Criteria Data 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

What you’ll do

The candidate will create, enhance, and maintain data pipelines, analytics models, and data products. They are also responsible for automating data ingestion and providing knowledge transfer sessions for technical staff.

Requirements

Candidates must have strong experience with Azure data services, including Databricks, Data Factory, and Synapse. Proficiency in Python and SQL, along with experience in building Power BI dashboards, is required.

Listed skills

• Technical Documentation · Preferred
• Power BI · Preferred
• SQL · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Azure Databricks
• Python
• Azure Data Factory
• Power BI
• Azure Storage
• Azure Data Lake
• Azure Synapse
• SQL
• Data Pipelines
• Data Analytics
• Data Modeling
• Cloud Architecture
• Knowledge Transfer
• Technical Documentation

Job areas

• Data & Analytics
• Technology
• Software
• Consulting