Data Analyst / Data Engineer

iVedha Inc. is hiring a hands-on Data Analyst / Data Engineer to turn data into repeatable, automated workflows. Based in Toronto, OH (onsite), you will help collect, clean, transform, and integrate structured and unstructured data while building Python and SQL automation that reduces manual effort and supports business and operational teams. The role also includes practical exposure to AI and Generative AI for data extraction, classification, summarization, enrichment, and workflow automation.

Compensation: from $75,000.00 per year
Experience: 3+ years

What you’ll do

• Collect, clean, transform, validate, and analyze structured and unstructured data.
• Build Python scripts to automate data processing, reporting, reconciliation, and operational tasks.
• Write and optimize SQL queries for data extraction, transformation, analysis, and reporting.
• Automate repetitive data workflows and manual business processes.
• Integrate data from APIs, databases, CSV/Excel files, SaaS platforms, and other enterprise systems.
• Perform data profiling, data quality checks, reconciliation, and exception handling.
• Create dashboards, reports, and analytical datasets for business and operational stakeholders.
• Use Python data-processing libraries such as Pandas and NumPy.
• Apply AI/Generative AI where it fits: 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/vector search, document processing, and AI-assisted data workflows when required.
• Collaborate with data engineers, AI engineers, developers, business analysts, and business stakeholders.
• Document data pipelines, scripts, integrations, business rules, and automated workflows.

What you bring

• 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 incorporating AI into data workflows.
• Strong analytical and problem-solving skills.

Tools you’ll work with

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, and 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.