# Azure Data Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-08-11

**Salary:** INR 400,000–2,600,000

**Workplace:** on_site

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

## Description

**This role is for one of Weekday’s clients  
Salary range: Rs 400000 - Rs 2600000 (ie INR 4 - 26 LPA)  
**  
Min Experience: 6+ years  
Location: Bengaluru, Hyderabad, Chennai, Tamil Nadu, India  
JobType: full-time

We are looking for an experienced **Azure Data Engineer** with **6–15 years of hands-on experience** in designing, developing, and maintaining scalable data engineering solutions on Microsoft Azure. The ideal candidate will have strong expertise in **Azure Data Factory, Azure Databricks, PySpark/Scala, Azure SQL, ADLS Gen2, and CI/CD pipelines**.

You will be responsible for building robust data pipelines, developing data transformation workflows, integrating cloud-based data services, and ensuring data platforms are secure, scalable, reliable, and optimized for performance.

## Requirements

### Key Responsibilities

-   Design, develop, and maintain scalable **ETL/ELT data pipelines** using **Azure Data Factory**.
-   Build and optimize large-scale data processing solutions using **Azure Databricks** and **PySpark/Scala**.
-   Develop data ingestion and transformation workflows across structured and unstructured data sources.
-   Work extensively with **Azure Data Lake Storage Gen2 (ADLS Gen2)** for data storage, organization, and processing.
-   Develop and optimize solutions using **Azure SQL**, **T-SQL**, and **Stored Procedures**.
-   Design and implement integrations and event-driven workflows using **Azure Logic Apps**.
-   Implement secure access and credential management using **Azure Key Vault**.
-   Create and maintain **CI/CD pipelines** for data engineering applications, notebooks, workflows, and infrastructure.
-   Monitor data pipelines and troubleshoot performance, reliability, and production issues.
-   Collaborate with data architects, software engineers, analysts, and business stakeholders to translate requirements into scalable technical solutions.
-   Follow best practices for data security, governance, performance optimization, and cloud architecture.
-   Participate in code reviews, technical documentation, deployment planning, and production support activities.

### Must-Have Skills

-   **6–15 years of professional experience** in data engineering, with significant experience working on Microsoft Azure.
-   Strong hands-on expertise with **Azure Data Factory (ADF)**.
-   Strong experience with **Azure Databricks**.
-   Proficiency in **PySpark and/or Scala** for large-scale data processing.
-   Strong knowledge of **Azure Data Lake Storage Gen2 (ADLS Gen2)**.
-   Hands-on experience with **Azure SQL** and **T-SQL**.
-   Strong experience developing and optimizing **Stored Procedures**.
-   Experience designing and implementing **CI/CD pipelines** for data engineering workloads.
-   Practical experience with **Azure Logic Apps** and cloud-based integrations.
-   Experience using **Azure Key Vault** for secrets, credentials, and secure configuration management.
-   Strong understanding of data engineering principles, ETL/ELT architecture, data transformation, and distributed processing.

### Good-to-Have Skills

-   Experience with **Azure Synapse Analytics**.
-   Hands-on experience with **Azure DevOps**.
-   Familiarity with **Azure Log Analytics** and cloud monitoring solutions.
-   Experience with infrastructure creation and automation using **Bicep, Terraform, or Ansible**.
-   Understanding of Infrastructure as Code (IaC) practices.
-   Experience working in Agile/Scrum development environments.
-   Knowledge of data security, governance, and Azure cloud best practices.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/90A497BA86/apply)

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