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iVedha Inc.

Data Analyst / Data Engineer

iVedha Inc.
Toronto, OH $75k+/yr Full time Posted 1d ago
Artificial Intelligence Automation Data Analysis Data Analytics Data Engineer Data Engineering Data Integration Data Pipeline Data Pipelines Data Processing Database ETL Reporting and Analytics SQL
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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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