Intern - Data Engineering - Remote

Overview

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.

In Short

• 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).
• Support data ingestion/transformation workflows.
• Contribute to scalable solutions for AI-driven projects.
• Develop basic data pipelines using Azure Data Factory, Azure Synapse Analytics, or Azure Databricks.
• Assist in ingesting structured/semi-structured data from sources into Azure Data Lake Storage (ADLS).
• Write simple SQL queries and scripts for data transformation and validation.
• Monitor pipeline performance and troubleshoot basic issues.
• Collaborate with AI/ML teams to prepare datasets for model training.

Requirements

• 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

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