Azure Data Engineer

# Azure Data Engineer
> Weekday AI · Pune, India · Full-time · Posted 2026-07-14
**Salary:** INR 1,500,000–2,700,000
**Workplace:** on_site
**Department:** Weekday's Client via platform
## Description
**This role is for one of the Weekday's clients**
**Salary range: Rs 1500000 - Rs 2700000 (ie INR 15-27 LPA)**
Experience: 5+ yrs

Location: Pune, Maharashtra, India

Job Type: Full-Time

We are looking for a skilled **Data Engineer** with expertise in **Azure Databricks, ETL, and SQL** to design, develop, and optimize scalable data solutions that support enterprise analytics and business intelligence initiatives. The ideal candidate will have experience building robust data pipelines, transforming large datasets, and enabling reliable, high-performance data platforms within modern cloud environments.

In this role, you will collaborate with cross-functional teams including data architects, analysts, business stakeholders, and engineering teams to deliver efficient data integration solutions, ensure data quality, and support data-driven decision-making across the organization.

## Requirements

### Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for ingesting, transforming, and loading data from multiple sources.
• Build and optimize data processing workflows using **Azure Databricks**, SQL, and cloud-native technologies.
• Develop reliable data models and transformation logic to support reporting, analytics, and business intelligence requirements.
• Write, optimize, and maintain complex SQL queries, stored procedures, and data transformation scripts.
• Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and reliability.
• Ensure data quality through validation, reconciliation, and automated quality checks.
• Collaborate with business users, analysts, and technical teams to translate data requirements into scalable technical solutions.
• Support cloud-based data warehouse initiatives and data integration projects.
• Implement best practices for data governance, security, documentation, and compliance.
• Participate in performance tuning, process automation, and continuous improvement initiatives across the data platform.

### What Makes You a Great Fit

• Strong hands-on experience with **Azure Databricks**, **ETL development**, and **SQL**.
• Proven experience building and supporting enterprise-scale data engineering solutions.
• Excellent SQL skills with expertise in query optimization and data transformation.
• Solid understanding of cloud-based data platforms, data warehousing concepts, and modern data architectures.
• Experience designing scalable and efficient data pipelines for structured and semi-structured data.
• Knowledge of data modeling, performance optimization, and data quality management practices.
• Strong analytical and problem-solving skills with attention to detail.
• Experience working in collaborative Agile development environments.
• Excellent communication and stakeholder management skills with the ability to work across technical and business teams.
• A proactive mindset with a passion for building reliable, scalable, and high-performing data platforms that drive business insights.

## Apply
[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/AB881A016D/apply)
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