Data Engineer, AI

Jobtailor; Mumbai; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Jobtailor is seeking a data engineer to design and maintain scalable ETL/ELT pipelines using Azure Data Factory. The role emphasizes SQL Server optimization, Python development, and AI/ML workflow automation in a cloud-first environment.

You will integrate Azure AI services and external APIs, ensuring data quality, performance, and security while collaborating with international teams and stakeholders.

Qualifications

• 3+ years of relevant industry experience.
• Strong experience with Microsoft SQL Server.
• Experience building data pipelines using Azure Data Factory (ADF).
• Strong Python programming skills.
• Experience working with Azure AI services and/or AI APIs.
• Experience integrating REST APIs and cloud-based services.
• Good understanding of data integration and transformation concepts.
• Experience troubleshooting and optimising data processes.
• Excellent spoken and written English communication skills.
• Ability to communicate with both technical and non-technical stakeholders.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory.
• Develop, optimise, and support SQL Server databases, stored procedures, and queries.
• Build Python-based integrations, automation tools, and data processing solutions.
• Integrate and support Azure AI services and third‑party AI APIs.
• Develop AI-enabled workflows and automation solutions using modern AI tech.
• Work with APIs and cloud services to integrate internal and external systems.
• Troubleshoot and resolve production issues across data and application environments.
• Collaborate with business and technical stakeholders to gather requirements.
• Ensure data quality, reliability, performance, and security across platforms.
• Produce technical documentation and support operational processes.
• Participate in architecture discussions and contribute to platform improvements.

Skills

ETL/ELT pipelines

Azure Data Factory

SQL Server

Python

Azure AI services

REST APIs

Data integration

Cloud services

English communication

Tools

Azure Data Factory

SQL Server

Python

Azure AI services

Job description

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory
• Develop, optimise, and support SQL Server databases, stored procedures, and queries
• Build Python-based integrations, automation tools, and data processing solutions
• Integrate and support Azure AI services and third‑party AI APIs
• Develop AI‑enabled workflows and automation solutions using modern LLM and AI technologies
• Work with APIs and cloud services to integrate internal and external systems
• Troubleshoot and resolve production issues across data and application environments
• Collaborate with business and technical stakeholders to gather requirements and deliver effective solutions
• Ensure data quality, reliability, performance, and security across platforms
• Produce technical documentation and support operational processes
• Participate in architecture discussions and contribute to continuous platform improvement

Requirements

• 3+ years of relevant industry experience
• Ability to work independently while contributing to technical discussions and solution design
• Strong experience with Microsoft SQL Server
• Experience building data pipelines using Azure Data Factory (ADF)
• Strong Python programming skills
• Experience working with Azure AI services and/or AI APIs
• Experience integrating REST APIs and cloud‑based services
• Good understanding of data integration and transformation concepts
• Experience troubleshooting and optimising data processes
• Familiarity with Azure cloud services and environments
• Strong analytical and problem‑solving skills
• Excellent spoken and written English communication skills
• Ability to communicate effectively with both technical and non‑technical stakeholders
• Comfortable participating in meetings with international teams

Core Competencies

Demonstrates expertise in designing and developing scalable ETL/ELT pipelines using Azure Data Factory, along with strong proficiency in SQL Server and Python for data processing and automation. Capable of integrating Azure AI services and third‑party APIs while ensuring data quality and performance across platforms.