Azure Data Engineer

Job Description :

Seeking an experienced Senior Specialist with 7 to 11 years of expertise in Azure Data Factory and Azure SQL to design and manage scalable data integration solutions

Design develop and maintain scalable data pipelines leveraging Azure Data Factory and Azure SQL Implement data integration workflows to support analytics and business intelligence initiatives Collaborate with cross functional teams to understand data requirements and deliver efficient data solutions Optimize data processing and transformation tasks to ensure high performance and reliability Utilize Azure Synapse Analytics Azure Data Lake and Databricks to enhance data storage processing and analytics capabilities Ensure data quality security and governance across various Azure data services Document technical specifications data pipeline architectures and best practices for ongoing maintenance and knowledge sharing.

Roles and Responsibilities :

Develop deploy and monitor complex ETLELT pipelines using Azure Data Factory

Write optimized SQL queries and scripts for data transformation and validation in Azure SQL Integrate and manage data ingestion from diverse sources into Azure Data Lake and Synapse Analytics

Troubleshoot and resolve issues related to data workflows pipeline failures and performance bottlenecks

Collaborate with data engineers architects and business stakeholders to align data solutions with business needs

Mentor junior team members and provide technical guidance to ensure adherence to best practices

Apply DevOps principles to automate deployment and version control of data pipelines.

Good to Have Skills

: Azure BLOB

Mandatory Skills

Azure data Bricks, Azure Data Factory , Pyspark

Experience

5 -12 years

Location

Bengaluru, Pune, Mumbai & Kolkata

Notice Period

Immediate - 30 days