Business Consulting and Services

Ingenius Technologies and Consulting

11-50

India

**About Us**  
We are an innovative AI SaaS venture that develops cutting-edge AI solutions and provides expert consulting services. Our mission is to empower businesses with state-of-the-art AI technologies and data-driven insights. We're seeking a talented Data Engineer to join our team and help drive our product development and consulting initiatives. 

**Job Overview**  
For our Q4 2025 and 2026+ ambition, we are looking for a motivated Intern in **Data Engineering** (Azure). You will assist in building and maintaining foundational data pipelines and architectures under the guidance of senior team members. This role focuses on learning **Azure tools (ADF, Databricks, Pyspark, Scala, python),** supporting data ingestion/transformation workflows, and contributing to scalable solutions for AI-driven projects.

## Tasks

**Tasks**

*   Develop basic data pipelines using **Azure Data Factory**, **Azure Synapse Analytics**, or **Azure Databricks**.
*   Assist in ingesting structured/semi-structured data from sources (e.g., APIs, databases, files) into **Azure Data Lake Storage (ADLS)**.
*   Write simple SQL queries and scripts for data transformation and validation.
*   Write simple **Pyspark, scala and python** code if required
*   Monitor pipeline performance and troubleshoot basic issues.
*   Collaborate with AI/ML teams to prepare datasets for model training.
*   Document workflows and adhere to data governance standards.

## Requirements

**Preferred Qualifications**

*   Basic knowledge of AI/ML concepts.
*   Bachelor in any stream mentioned in (Engineering, Science & Commerce).
*   Basic understanding of Azure services (Data Factory, Synapse, ADLS, SQL Database, Databricks, Azure ML).
*   Familiarity with SQL, Python, or Pyspark, Scala for scripting.
*   Exposure to data modeling and ETL/ELT processes.
*   Ability to work in Agile/Scrum teams

## Benefits

**What We Offer**

*   Cutting-edge Technology: Opportunity to work on cutting-edge AI projects and shape the future of data visualization
*   Rapid Growth: Be part of a high-growth startup with endless opportunities for career advancement.
*   Impactful Work: See your contributions make a real difference in how businesses operate.
*   Collaborative Culture: Join a diverse team of brilliant minds from around the world.
*   Flexible Work Environment: Enjoy remote work options and a healthy work-life balance.
*   Competitive Compensation as per market.

We’re excited to welcome passionate, driven individuals who are eager to learn and grow with our team. If you’re ready to gain hands-on experience, contribute to meaningful projects, and take the next step in your professional journey, we encourage you to apply. We look forward to exploring the possibility of having you onboard.

Follow us for more updates: [https://www.linkedin.com/company/ingeniusai/posts/](https://www.linkedin.com/company/ingeniusai/posts/?feedView=all)

Internship

No experience required / Student

About Us We are an innovative AI SaaS venture that develops cutting-edge AI solutions and provides expert consulting services. Our mission is to empower businesses with state-of-the-art AI technologies and data-driven insights. We&#39;re seeking a talented Data Engineer to join our team and help drive our product development and consulting initiatives. 
Job Overview For our Q4 2025 and 2026+ ambition, we are looking for a motivated Intern in Data Engineering (Azure). You will assist in building and maintaining foundational data pipelines and architectures under the guidance of senior team members. This role focuses on learning Azure tools (ADF, Databricks, Pyspark, Scala, python), supporting data ingestion/transformation workflows, and contributing to scalable solutions for AI-driven projects.
<h2 id="tasks">Tasks</h2>
Tasks
<ul>
<li>Develop basic data pipelines using Azure Data Factory, Azure Synapse Analytics, or Azure Databricks.</li>
<li>Assist in ingesting structured/semi-structured data from sources (e.g., APIs, databases, files) into Azure Data Lake Storage (ADLS).</li>
<li>Write simple SQL queries and scripts for data transformation and validation.</li>
<li>Write simple Pyspark, scala and python code if required</li>
<li>Monitor pipeline performance and troubleshoot basic issues.</li>
<li>Collaborate with AI/ML teams to prepare datasets for model training.</li>
<li>Document workflows and adhere to data governance standards.</li>
</ul>
<h2 id="requirements">Requirements</h2>
Preferred Qualifications
<ul>
<li>Basic knowledge of AI/ML concepts.</li>
<li>Bachelor in any stream mentioned in (Engineering, Science &amp; Commerce).</li>
<li>Basic understanding of Azure services (Data Factory, Synapse, ADLS, SQL Database, Databricks, Azure ML).</li>
<li>Familiarity with SQL, Python, or Pyspark, Scala for scripting.</li>
<li>Exposure to data modeling and ETL/ELT processes.</li>
<li>Ability to work in Agile/Scrum teams</li>
</ul>
<h2 id="benefits">Benefits</h2>
What We Offer
<ul>
<li>Cutting-edge Technology: Opportunity to work on cutting-edge AI projects and shape the future of data visualization</li>
<li>Rapid Growth: Be part of a high-growth startup with endless opportunities for career advancement.</li>
<li>Impactful Work: See your contributions make a real difference in how businesses operate.</li>
<li>Collaborative Culture: Join a diverse team of brilliant minds from around the world.</li>
<li>Flexible Work Environment: Enjoy remote work options and a healthy work-life balance.</li>
<li>Competitive Compensation as per market.</li>
</ul>
We’re excited to welcome passionate, driven individuals who are eager to learn and grow with our team. If you’re ready to gain hands-on experience, contribute to meaningful projects, and take the next step in your professional journey, we encourage you to apply. We look forward to exploring the possibility of having you onboard.
Follow us for more updates: <a target="_blank" rel="noopener nofollow" href="https://www.linkedin.com/company/ingeniusai/posts/?feedView=all">https://www.linkedin.com/company/ingeniusai/posts/</a>

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