Senior Data Engineer

Location: Bengaluru

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 Dev Ops, 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 Dev Ops, Git Hub 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.