Engineer Jobs in Toronto, OH

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Data Analyst / Data Engineer

iVedha Inc. Toronto, OH

Toronto, OH

Today

$75k+/yr Full time Artificial Intelligence Automation Data Analysis

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Job Description

iVedha Inc. is hiring a hands-on Data Analyst / Data Engineer to build data pipelines, automate workflows, and apply AI to data-driven tasks in an onsite role in Toronto, OH.

Responsibilities

Collect, clean, transform, validate, and analyze structured and unstructured data.
Develop Python scripts to automate data processing, reporting, reconciliation, and operational activities.
Write and optimize SQL queries for extraction, transformation, analysis, and reporting.
Automate repetitive data workflows and reduce manual business process effort.
Integrate data from APIs, databases, CSV/Excel, SaaS platforms, and other enterprise systems.
Run data profiling, data quality checks, reconciliation, and exception handling.
Create dashboards, reports, and analytical datasets for business and operational stakeholders.
Work with data-processing libraries including Pandas, NumPy, and related frameworks.
Apply AI and Generative AI where appropriate for extraction, classification, summarization, enrichment, analysis, and workflow automation.
Work with LLMs and APIs such as OpenAI, Azure OpenAI, or similar technologies.
Support basic RAG, embeddings and vector search, document processing, and AI-assisted data workflows as required.
Collaborate with data engineers, AI engineers, developers, business analysts, and business stakeholders.
Document data pipelines, scripts, integrations, business rules, and automated workflows.

Requirements

3+ years of experience in data analysis, data engineering, software/data automation, or a related role.
Strong hands-on experience with Python.
Strong knowledge of SQL and relational databases.
Experience with Pandas, NumPy, or similar Python data libraries.
Experience building or supporting ETL/ELT pipelines.
Ability to work with REST APIs, JSON, CSV, Excel, and database integrations.
Experience scripting and automating repetitive data or operational processes.
Understanding of data quality, validation, transformation, reconciliation, and exception handling.
Exposure to at least one cloud environment such as Azure, AWS, or GCP.
Practical understanding of Generative AI / LLM concepts and how AI can be incorporated into data workflows.
Strong analytical and problem-solving skills.

Technologies

Python, SQL, Pandas, NumPy
ETL/ELT pipelines
REST APIs, JSON, CSV, Excel
OpenAI, Azure OpenAI
RAG, embeddings/vector search, LLMs
Azure, AWS, GCP
Databricks, Snowflake, Microsoft Fabric
Azure Data Factory, Airflow, dbt
Power BI, Tableau
Claude, Gemini
Vector databases, AI agents
Git, CI/CD
Open-source LLMs

Nice to Have

Experience with Databricks, Snowflake, Microsoft Fabric, Azure Data Factory, Airflow, or dbt.
Experience with Power BI, Tableau, or similar BI/reporting tools.
Experience working with OpenAI, Azure OpenAI, Claude, Gemini, or open-source LLMs.
Understanding of RAG, embeddings, vector databases, and AI agents.
Experience with workflow automation tools or building Python-based automation.
Familiarity with Git, CI/CD, and basic DevOps practices.
Experience working with large datasets or enterprise data platforms.

Pay

From $75,000.00 per year

Work Location

In person
Toronto, OH

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