Cloud Engineer

Job Title: Azure Data Engineer

Experience Required: 5 to 12 Years

Location: Bangalore, India

Key Responsibilities:

Design, develop, and maintain scalable data pipelines using Azure Data Factory, Azure

Synapse, and other Azure services.

Architect and implement data lake and data warehouse solutions on Azure.

Perform data ingestion, transformation, and integration from various structured and

unstructured sources.

Collaborate with data scientists, analysts, and business stakeholders to understand data

requirements and deliver solutions.

Optimize data workflows for performance, reliability, and cost-efficiency.

Implement data governance, security, and compliance standards across Azure data

platforms.

Automate data processes using Azure Functions, Logic Apps, and CI/CD pipelines.

Monitor, troubleshoot, and enhance data systems and workflows.

Required Skills & Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or related field.

5–12 years of experience in data engineering, with at least 5 Plus years on Azure.

Expertise in Azure Data Factory, Azure Synapse Analytics, Azure SQL, Data Lake Storage,

and related services.

Strong proficiency in SQL and scripting languages like Python or Scala.

Experience with data modeling, ETL/ELT design, and performance tuning.

Familiarity with DevOps practices and tools (Azure DevOps, Git, etc.).

Understanding of data governance, privacy, and security principles.

Excellent communication and stakeholder management skills.

Preferred Qualifications:

Microsoft Certified: Azure Data Engineer Associate (DP-203).

Experience with Databricks, Power BI, or other BI tools.

Exposure to big data technologies and real-time data processing.

Knowledge of Agile methodologies and project delivery frameworks.