Data Engineer

Weekday AI (YC W21); New Delhi; On-site; INR 100,000 - 1,000,000; Full time

Job summary

Weekday AI is hiring a Data Engineer to design, develop, and maintain scalable data solutions using Azure and Microsoft Fabric. You will build robust pipelines, transform data for analytics, and collaborate with analysts, data scientists, and engineers to ensure data accuracy and availability.

The ideal candidate has 2–6 years in data engineering, strong SQL skills, and experience with production-grade workflows.

Qualifications

• 2–6 years of professional experience in Data Engineering or a closely related role.
• Strong hands-on experience with Microsoft Azure data services and cloud-based data engineering.
• Practical experience with Microsoft Fabric and its data engineering capabilities.
• Strong understanding of data ingestion, transformation, integration, and processing concepts.
• Experience developing and maintaining production-grade data workflows.
• Good understanding of SQL and relational database concepts.
• Experience with data modeling and designing scalable data solutions.
• Strong troubleshooting and analytical skills.
• Ability to work effectively in a collaborative, fast-paced environment.

Responsibilities

• Design, develop, and maintain scalable data engineering solutions using Azure and Microsoft Fabric.
• Build and manage robust data pipelines for ingesting, transforming, and processing data from multiple sources.
• Develop data transformation workflows to prepare structured and semi-structured data for analytics and reporting.
• Work with Microsoft Fabric components to implement modern data platforms and analytics solutions.
• Design and maintain Lakehouse architectures for storing and processing large volumes of data.
• Integrate data from databases, APIs, files, cloud platforms, and other enterprise data sources.
• Monitor data pipelines and troubleshoot failures, performance issues, and data-quality problems.
• Optimize data processing workflows for scalability, reliability, and cost efficiency.
• Implement data validation, quality checks, security, and governance practices.
• Collaborate with cross-functional teams to understand data requirements and translate them into scalable technical solutions.
• Document data architectures, pipelines, transformations, processes, and technical standards.
• Support the continuous improvement and modernization of existing data infrastructure.

Skills

Azure data services

Microsoft Fabric

SQL & relational DB

Data ingestion & processing

Production-grade workflows

Troubleshooting & analytics

Data modeling

Collaboration in fast-paced

Tools

Python

Power BI

Job description

Job Description:

This role is for one of Weekday’s clients Salary range: Rs 100000 - Rs 1000000 (ie INR 1 - 10 LPA)

Min Experience: 2+ years Location: Gurugram, Haryana, India, Noida, Uttar Pradesh, India, Delhi, India, New Delhi, Delhi, India JobType: full-time

We are looking for a skilled Data Engineer with 2–6 years of experience to design, develop, and maintain scalable data solutions using Microsoft Azure and Microsoft Fabric. The ideal candidate will have strong experience in data engineering principles, data integration, transformation, and cloud-based data platforms, with the ability to build reliable and high-performing data solutions.

You will work closely with data analysts, data scientists, software engineers, and business stakeholders to develop data pipelines, optimize data workflows, and ensure data is accurate, accessible, and ready for analytics and business intelligence.

Key Responsibilities

• Design, develop, and maintain scalable data engineering solutions using Azure and Microsoft Fabric.
• Build and manage robust data pipelines for ingesting, transforming, and processing data from multiple sources.
• Develop data transformation workflows to prepare structured and semi-structured data for analytics and reporting.
• Work with Microsoft Fabric components to implement modern data platforms and analytics solutions.
• Design and maintain Lakehouse architectures for storing and processing large volumes of data.
• Integrate data from databases, APIs, files, cloud platforms, and other enterprise data sources.
• Monitor data pipelines and troubleshoot failures, performance issues, and data-quality problems.
• Optimize data processing workflows for scalability, reliability, and cost efficiency.
• Implement data validation, quality checks, security, and governance practices.
• Collaborate with cross-functional teams to understand data requirements and translate them into scalable technical solutions.
• Document data architectures, pipelines, transformations, processes, and technical standards.
• Support the continuous improvement and modernization of existing data infrastructure.

Must-Have Skills

• 2–6 years of professional experience in Data Engineering or a closely related role.
• Strong hands-on experience with Microsoft Azure data services and cloud-based data engineering.
• Practical experience working with Microsoft Fabric and its data engineering capabilities.
• Strong understanding of data ingestion, transformation, integration, and processing concepts.
• Experience developing and maintaining production-grade data workflows.
• Good understanding of SQL and relational database concepts.
• Experience with data modeling and designing scalable data solutions.
• Strong troubleshooting and analytical skills.
• Ability to work effectively in a collaborative, fast-paced environment.

Good-to-Have Skills

• Hands-on experience designing or working with Lakehouse architectures.
• Experience building and optimizing Data Pipelines.
• Familiarity with modern data warehousing and cloud data platforms.
• Knowledge of data governance, security, data quality, and metadata management.
• Experience with Python or other programming languages used in data engineering.
• Understanding of ETL/ELT frameworks and distributed data processing.
• Exposure to Power BI, analytics platforms, or business intelligence workflows.

Requirements: