# 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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