Data Analyst / Data Engineer

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