Data Science Developer

RQ09231 – Data Science Developer
Labour and Transportation Cluster
Assignment Type -Hybrid
Location-Canada
# Of Openings -3

hashtag#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

hashtag#Req Closing Date/Time 2025-05-20, 10:00 a.m

hashtag#Candidate is required to come in office 3 days a week

#hashtag#Must haves:
Azure Databricks
Python,Azure Data Factory , Power BI

Thanks &Best Regards,
Madhu Kiran
IT Recruiter
Malvi Systems
Mobile:6093750222
Email:madhu@malvisystems.com