columbus python software developer Jobs – 102 Openings This Week

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Senior Principal Backend Engineer, Crypto and Alternative Trading Products
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RQ11099 - Sr. DataOps/Cloud Data Engineer
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Veriday Inc. —Toronto, ON
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Senior Software Developer

RAENAN CONSULTANCY INC.
Toronto, ON

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Job details

Full-time | Contract

Skills

CI/CD
Performance tuning
Power BI
Data modeling
Azure
Customer service
DevOps
Spark
System design
Microsoft SQL Server
Enterprise architecture
SQL
Project management
Presentation skills
PostgreSQL
Distributed systems
Software development
Unity
GitHub
Project management methodology
JSON
Unit testing
Data collection
Metadata
Leadership
Communication skills
Data warehouse
Python
PowerShell
Negotiation

Full job description

Healthcare/ ETL Senior Developer

Must Have

Designing and developing scalable Medallion Data Lakehouse architectures.
Expertise in data ingestion, transformation, and curation using Delta Lake and Databricks.
Experience integrating structured and unstructured data sources into star/snowflake schemas.
Building, automating, and optimizing complex ETL/ELT pipelines using Azure Data Factory (ADF), Databricks (PySpark, SQL, Delta Live Tables), and dbt.
Implementing orchestrated workflows and job scheduling in Azure environments.
Strong knowledge of relational (SQL Server, Synapse, PostgreSQL) and dimensional modeling.
Advanced SQL query optimization, indexing, partitioning, and data replication strategies.
Experience with Apache Spark, Delta Lake, and distributed computing frameworks in Azure Databricks.
Working with Parquet, ORC, and JSON formats for optimized storage and retrieval.
Deep expertise in Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure SQL, Event Hubs, and Azure Functions.
Strong understanding of cloud security, RBAC, and data governance.
Proficiency in Python (PySpark), SQL, and PowerShell for data engineering workflows.
Experience with CI/CD automation (Azure DevOps, GitHub Actions) for data pipelines.
Implementing data lineage, cataloging, metadata management, and data quality frameworks.
Experience with Unity Catalog for managing permissions in Databricks environments.
Expertise in Power BI (DAX, data modeling, performance tuning).
Experience in integrating Power BI with Azure Synapse and Databricks SQL Warehouses.
Familiarity with MLflow, AutoML, and embedding AI-driven insights into data pipelines.

Description

Ontario’s current medical triage algorithm plays a crucial role in prioritizing emergency medical calls and ensuring that patients receive timely and appropriate care.
To further strengthen this capability, the Ministry of Health is implementing the Medical Priority Dispatch System (MPDS), a gold‑standard solution used in more than 3,000 communication centres across over 45 countries.
Beyond its function as a triage tool, MPDS incorporates best‑practice algorithms, embedded clinical expertise, and robust data collection and benchmarking capabilities.
These features enable ongoing monitoring and continuous improvement of Ontario’s triage performance, both incrementally and in comparison with other jurisdictions.
This initiative directly aligns with key Ministry strategies, including the Patients First: Action Plan for Health Care and Enhanced Emergency Services Ontario (EESO 2.0), which emphasize safe, accurate, and fiscally responsible delivery of ambulance services.
Modernizing the triage process supports the province’s goal of providing the right care at the right time, improving system responsiveness and flexibility as Ontario’s healthcare needs continue to grow.
The Corporate Services and Information Management Branch (CSIMB), which manages the Ontario Data Platform, Health Domain, the Ministry’s enterprise data and analytics infrastructure, plays a critical role in enabling this transformation.
As part of Emergency Health Data utility development, CSIMB will integrate any required new data feeds into the Ministry’s data environment (e.g., Ambulance Dispatch Decision Support (ADDS) data) to support seamless reporting, system monitoring, and analytics.
Resources are required to support the Ministry’s transition objectives, ensure operational continuity during implementation, and enable efficient integration of new data and systems.
Design technical solutions for data acquisition and storage into our centralized data repository.
Develop ELT scripts, design data-driven logic and conduct unit testing.
Conduct database modeling and design as to improve overall performance.
Produce design artifacts and documentation which will allow future support of the implemented solutions.
Investigate and resolve incidents and identify whether the problem is caused by the data loading code or is due to bad data received from the data provider.
Execute service requests related to routine and ad-hoc data loads.
Provide the data quality check and report on the data quality issue.

NOTE

Extension/Amendment Attestation: Extension(s) only allowed using unused days/funds left on contract. No additional funds will be added beyond the maximum contract value and any extension options included in the original SOW.
Assignment Type: This position is listed as Onsite; the resource is expected to work 7.25 hours per calendar day between the standard working hours of 8:00-5:00 PM (excluding lunch breaks) every Monday to Friday inclusive at the identified OPS office location.

Skills

Experience and Skill Set Requirements

Technical Skills

10+ years experience in:

Designing and developing scalable Medallion Data Lakehouse architectures.
Expertise in data ingestion, transformation, and curation using Delta Lake and Databricks.
Experience integrating structured and unstructured data sources into star/snowflake schemas.
Building, automating, and optimizing complex ETL/ELT pipelines using Azure Data Factory (ADF), Databricks (PySpark, SQL, Delta Live Tables), and dbt.
Implementing orchestrated workflows and job scheduling in Azure environments.
Strong knowledge of relational (SQL Server, Synapse, PostgreSQL) and dimensional modeling.
Advanced SQL query optimization, indexing, partitioning, and data replication strategies.
Experience with Apache Spark, Delta Lake, and distributed computing frameworks in Azure Databricks.
Working with Parquet, ORC, and JSON formats for optimized storage and retrieval.
Deep expertise in Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure SQL, Event Hubs, and Azure Functions.
Strong understanding of cloud security, RBAC, and data governance.
Proficiency in Python (PySpark), SQL, and PowerShell for data engineering workflows.
Experience with CI/CD automation (Azure DevOps, GitHub Actions) for data pipelines.
Implementing data lineage, cataloging, metadata management, and data quality frameworks.
Experience with Unity Catalog for managing permissions in Databricks environments.
Expertise in Power BI (DAX, data modeling, performance tuning).
Experience in integrating Power BI with Azure Synapse and Databricks SQL Warehouses.
Familiarity with MLflow, AutoML, and embedding AI-driven insights into data pipelines.
50 points

Core Skill and Experience

10+ years of experience with technical systems specifications and translating them into working, tested applications for large, complex, mission critical applications.
10+ years of experience in technical analysis, program code, detailed programming and reports specifications, program design, writing and /or generating code, and conducting unit tests.
10+ years of experience in software in various computing platforms, operating systems, database technology, communication protocols, middleware and gateways.
10+ years of experience in developing and maintaining system design models, technical documentation, and specifications.
5+ years of experience in conducting technical evaluation and assessment of options for technical design issues, application figuration aspects and integration capabilities, related tools and utilities, gap analysis of integration components to technical requirements / specifications / documentation.
SDLC end-to-end.
30 points

General Skills

Demonstrated strong leadership and people management skills.
Proven technical leadership skills with ability to identify areas for improvement, and recommend solutions.
Exceptional analytical, problem solving and decision-making skills.
Demonstrated strong interpersonal, verbal and written communication, and presentation skills.
Proven troubleshooting and critical thinking experience
Demonstrated ability to apply strong listening skills to facilitate issue resolution.
Effective consulting skills to engage with all stakeholders with proven track record for building strong working relationships.
Strong interpersonal, facilitation and negotiation skills with ability to build rapport with stakeholders and drive negotiations to a successful outcome.
Excellent customer service skills, including tact and diplomacy to ensure client needs are managed effectively.
A motivated, flexible, detail-oriented and creative team player with perseverance, excellent organization and multi-tasking abilities, and a proven track record for meeting strict deadlines.
15 points

Public Sector/Healthcare Experience

Knowledge of Public Sector Enterprise Architecture artifacts (or similar), processes and practices, and ability to produce technical documentation that comply with industry standard practices.
Knowledge of Project Management Institute (PMI) and Public Sector I&IT project management methodologies.
Knowledge and understanding of Ministry policy and IT project approval processes and requirements.
Experience with large complex IT Health-related projects.

Pay: $160,000.00-$180,000.00 per year

Experience:

Azure Data Bricks: 6 years (required)
ETL: 9 years (required)
Medallion Data Lakehouse: 10 years (required)

Work Location: Hybrid remote in Toronto, ON (Toronto District)

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python software developer jobs in columbus

Senior Software Developer

Sr. Staff - DevOps Engineer

Senior Linux Software Engineer (Networking & Systems) (10138)

Senior Principal Backend Engineer, Crypto and Alternative Trading Products

Senior Database Java Developer

Senior Full Stack Engineer (Platform & Integrations)

RQ11099 - Sr. DataOps/Cloud Data Engineer

Senior DevOps & Site Reliability Engineer

Lead DevOps Engineer

Senior DevOps Platform Architect

Software Engineering Co-op

Senior Developer (Lending Data Engineering)

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