# Data Engineer

> Weekday AI · Pune, India · Full-time · Posted 2026-07-14

**Salary:** INR 1,300,000–2,600,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of the Weekday's clients**

**Salary range: Rs 1300000 - Rs 2600000 (ie INR 13-26 LPA)**

Experience: 5+ yrs

Location: Pune, Maharashtra, India

Job Type: Full-Time

We are seeking an experienced **Azure Databricks Engineer** to design, develop, and optimize scalable cloud-based data engineering solutions. This role is ideal for professionals with strong expertise in **Azure Databricks, SQL, and ETL development**, who are passionate about building high-performance data pipelines and enabling data-driven business decisions.

As an Azure Databricks Engineer, you will work closely with data architects, analysts, and cross-functional teams to develop robust ETL workflows, optimize data processing, and ensure reliable data availability for analytics and reporting. You will play a key role in modernizing data platforms, improving pipeline performance, and implementing best practices for cloud-based data engineering.

## Requirements

### Key Responsibilities

-   Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks and cloud-native technologies.
-   Build and optimize data ingestion, transformation, and processing workflows for structured and semi-structured data.
-   Develop complex SQL queries, stored procedures, and data transformation logic to support reporting and analytics.
-   Collaborate with business stakeholders, data architects, and analytics teams to understand data requirements and deliver scalable solutions.
-   Optimize Azure Databricks workloads for performance, scalability, and cost efficiency.
-   Implement data quality checks, validation processes, and monitoring to ensure data accuracy and reliability.
-   Troubleshoot data pipeline failures, resolve performance bottlenecks, and support production environments.
-   Integrate data from multiple sources while ensuring consistency, governance, and security standards.
-   Participate in data modeling, documentation, and continuous improvement initiatives across the data platform.
-   Follow best practices for version control, deployment, testing, and cloud-based data engineering.

### What Makes You a Great Fit

-   Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
-   Strong hands-on experience with **Azure Databricks**, **SQL**, and **ETL** development.
-   Experience designing and developing cloud-based data pipelines and large-scale data processing solutions.
-   Proficiency in writing and optimizing complex SQL queries for high-performance data processing.
-   Strong understanding of data warehousing concepts, data modeling, and ETL/ELT best practices.
-   Experience working with Azure cloud services and modern data engineering architectures.
-   Knowledge of data integration, workflow orchestration, and cloud storage solutions.
-   Strong analytical, troubleshooting, and performance optimization skills.
-   Experience implementing data quality, governance, and security best practices.
-   Excellent communication and collaboration skills with the ability to work effectively across cross-functional teams.
-   A proactive mindset with a passion for building scalable, reliable, and efficient cloud data solutions while continuously improving engineering processes.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/57CE33188E/apply)

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