Senior Data Engineer

Location :

Bangalore,Chennai, Gurgaon ,Pune,Noida,Bohopal

Job Summary: We are looking for an experienced

Azure Data Engineer

with 5 to 8 years of hands-on experience in designing, developing, and implementing end-to-end data solutions on Microsoft Azure. The ideal candidate will have a strong background in data integration, data warehousing, data modeling, and building scalable data pipelines using Azure services.

Key Responsibilities: Design and develop scalable and secure

data pipelines

using Azure Data Factory, Azure Synapse Analytics, and Databricks. Implement

ETL/ELT processes

to ingest data from various structured and unstructured sources. Build and maintain

data lakes and data warehouses

on Azure (e.g., Azure Data Lake Storage Gen2, Synapse). Work closely with

data analysts, scientists, and business stakeholders

to understand data requirements and deliver high-quality data solutions. Optimize and monitor data pipelines for

performance, reliability, and cost-efficiency . Apply

data governance, security, and compliance

standards, including role-based access controls and encryption. Perform

data modeling

(dimensional and relational) and develop data dictionaries and documentation. Integrate with external tools such as

Power BI , Azure DevOps, or third-party APIs as needed. Ensure

CI/CD practices

in data development and deployment workflows. Must have experience in

Event hub ,

Realtime data Streaming

(using

kafka ).

Required Skills & Experience: 8+ years of experience in

data engineering or BI development , with a focus on

Azure Data Services . Strong experience with: Azure Data Factory (ADF) Azure Synapse Analytics Azure SQL Database / SQL Server / SQL DW Azure Data Lake Storage (ADLS Gen2) Azure Databricks / Apache Spark Proficiency in writing complex

SQL queries

and performance tuning. Experience with

Python ,

PySpark , or

Scala

for data transformation and orchestration. Experience with

CI/CD tools

(Azure DevOps, GitHub Actions, etc.) and automated deployment strategies. Knowledge of

data security

and

compliance standards

(GDPR, HIPAA, etc.). Familiarity with

Power BI

or other visualization tools is a plus.

Preferred Qualifications: Microsoft Azure certification(s) such as: DP-203: Azure Data Engineer Associate AZ-900 / DP-900

(Foundational) Experience with

Agile/Scrum

methodology. Knowledge of

Data Governance ,

Master Data Management (MDM) , and

Data Quality

frameworks. Familiarity with

real-time data processing

(Event Hubs, Stream Analytics) is a plus.

Soft Skills: Strong

analytical and problem-solving

skills. Excellent

communication and collaboration

abilities. Ability to work independently and in a

cross-functional team

environment. Eagerness to learn and adapt to new technologies.