Azure Data Engineer

Job Description:

Job Title:Senior Azure Data Engineer

Shift Timings:1 PM - 10 PM

Location:Remote, India, Work from Home

Experience Required:8 - 12 Years

Job Summary:

We are seeking a highly skilled and experienced Senior Azure Data Engineer to join our team. The ideal candidate will have deep expertise in Microsoft Azure data services, cloud-based data engineering solutions and modern reporting tools. This role involves leading technical projects, designing scalable data architectures, and delivering actionable insights through BI tools using modern data Lakehouse/warehouse architecture. Ideal candidate should have strong experience with data modelling , ETL/ELT pipeline, and performance tuning. Need to work with Data Architect , Business Analysts and Data Scientists to deliver high quality , reliable and secure data products that enabled advanced analytics.

Key Responsibilities:

Lead end-to-end data engineering projects using Microsoft Fabric, Synapse, Azure Data Factory, Azure Databricks, and ADLS Gen2.

Build and optimize lakehouse and warehouse with best practices.

Design and implement scalable data pipelines and ETL/ELT processes.

Define and enforce data quality ,data governance and metadata – driven frameworks.

Develop and optimize data models (star schema, facts, dimensions) in Microsoft cloud.

Manage incremental load, CDC, and real time streaming pipelines.

Ensure data solution comply with security , privacy, and compliance standards (GDPR, HIPAA,etc.)

Create dashboards and reports using reporting tool Power BI and Azure Analysis Services.

Work with structured , semi-structured and unstructured data and derive insights from data generated.

Implement CI/CD pipelines using Azure DevOps and GitHub and project management.

Collaborate with cross-functional teams including business stakeholders, developers, and analysts.

Drive digital transformation initiatives and business process automation using Azure cloud and Power Platform.

Leverage latest AI model to train LLM /SLM models and use NLP to Q&A data

Mentor junior team members and manage client communications.

Technical Skills Required:

Candidate prescreening should cover, Data Sources[On prem , Azure SQL] and API Integration in Synapse ,Fabric[PySpark] and Strong SQL experience, Data Understanding on large scale project, Good Communication skill and client handling skill.