# Lead Azure Data Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-06-20

**Salary:** INR 500,000–2,000,000

**Workplace:** on_site

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

## Description

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

**Salary range: Rs 500000 - Rs 2000000 (ie INR 5-20 LPA)**

Experience: 4+ yrs

Location: Bengaluru, Pune, Hyderabad, NCR, Chennai

Job Type: full-time

We are seeking a Data Engineer / Senior Data Engineer to design, build, and optimize large-scale cloud-based data platforms that support business intelligence, analytics, and data-driven decision-making. This role focuses on developing modern data pipelines, data lakes, and warehouse solutions while working with real-time and batch processing systems in a cloud environment. You will collaborate with cross-functional teams to deliver scalable, high-quality data architectures that enable actionable insights across the organization.

## Requirements

**Key Responsibilities**

-   Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of structured and unstructured data.
-   Build and manage cloud-based data platforms, including data lakes, data warehouses, and analytics solutions.
-   Develop and optimize data pipelines using Spark, PySpark, and cloud-native data services.
-   Work with real-time and batch data processing frameworks to ensure reliable and efficient data delivery.
-   Design robust data models and implement best practices for data quality, governance, and performance.
-   Optimize SQL queries, database performance, and large-scale analytics workloads.
-   Develop and maintain reporting and visualization solutions to support business stakeholders.
-   Collaborate with business, engineering, analytics, and product teams to define data requirements and solutions.
-   Support CI/CD processes, automation, monitoring, and deployment of data engineering solutions.
-   Create technical documentation and ensure adherence to modern engineering and data management standards.

**What Makes You a Great Fit**

-   7+ years of experience in Data Engineering, ETL development, and cloud-based analytics solutions.
-   Strong expertise in Azure Data Factory, Databricks, Azure Synapse Analytics, Spark, and PySpark.
-   Hands-on experience with data lakes, Delta Lake architecture, and modern big data technologies.
-   Strong SQL development, query optimization, and performance tuning skills.
-   Experience designing scalable cloud-hosted data platforms and enterprise-grade data architectures.
-   Knowledge of reporting and analytics tools, including data modeling and dashboard development.
-   Familiarity with CI/CD pipelines, DevOps practices, and cloud security concepts such as RBAC.
-   Strong problem-solving, communication, and stakeholder management skills.
-   Ability to translate business requirements into scalable technical data solutions while maintaining high standards of quality and reliability.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/A49DCE07A4/apply)

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