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

**Min Experience: 3 years

Location: Bengaluru

JobType: full-time

We are seeking a skilled and motivated Azure Data Engineer with 3–5 years of hands-on experience in designing, building, and maintaining scalable data solutions on Microsoft Azure. The ideal candidate will have a strong background in data engineering, cloud-based data platforms, and modern data architecture, with a primary focus on Azure services.

Key Responsibilities:

As an Azure Data Engineer, you will be responsible for developing and optimizing data pipelines and workflows that support business intelligence, analytics, and data science initiatives. You will design and implement robust, secure, and high-performance data solutions using Azure-native tools and services.

You will build and maintain ETL/ELT pipelines using Azure Data Factory, ensuring efficient data ingestion from multiple structured and unstructured data sources. You will work with Azure Data Lake Storage and Azure Blob Storage to manage large-scale datasets and ensure proper data organization and governance.

In this role, you will leverage Azure Synapse Analytics or Azure SQL Database to transform and model data for downstream consumption. You will collaborate closely with data analysts, data scientists, and cross-functional teams to understand business requirements and deliver reliable data solutions.

You will also ensure data quality, integrity, and security by implementing best practices and governance policies. Monitoring and troubleshooting data pipelines, optimizing performance, and ensuring high availability will be a critical part of your responsibilities.

Required Skills and Qualifications:

3–5 years of experience in data engineering or a related field
Strong expertise in Microsoft Azure data services such as Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Azure SQL Database
Proficiency in SQL and experience with data modeling techniques
Hands-on experience with programming languages such as Python or PySpark
Familiarity with big data technologies and distributed data processing frameworks
Experience in building scalable data pipelines and handling large datasets
Understanding of data warehousing concepts and ETL/ELT processes
Knowledge of Azure DevOps, CI/CD pipelines, and version control systems like Git
Strong problem-solving and analytical skills

Preferred Qualifications:

Experience with Azure Databricks for advanced data processing and analytics
Familiarity with Power BI for data visualization and reporting
Knowledge of data governance, security, and compliance practices in Azure
Azure certifications such as Microsoft Certified: Azure Data Engineer Associate

Soft Skills:

Strong communication and collaboration abilities
Ability to work in an agile and fast-paced environment
Detail-oriented with a focus on delivering high-quality solutions
Proactive mindset with the ability to take ownership of tasks