On-Site
Full-Time
Chennai, Tamil Nadu
India
Skills
Microsoft Azure
Python (Programming Language)
PySpark
Data Lakes
Oracle Application Development Framework (ADF)
About the Role
Job Title: Lead Azure Data Engineer
Experience: 7+ Years
Location: Chennai / Bangalore /Hyderabad /Kochi
About Aspire Systems
Aspire Systems is a global technology services firm offering end-to-end digital transformation and product engineering solutions. We are currently seeking an experienced Lead Azure Data Engineer to join our Data & Analytics team and help build scalable, secure, and intelligent data platforms.
Role Overview
As an Azure Data Engineer, you will be responsible for creating, managing, and optimizing data lakes and pipelines using Azure technologies. You will work with internal teams to build high-performance data platforms that support enterprise-grade analytics and reporting.
Key Responsibilities
Design and build data lakes and lakehouses from scratch, and configure existing systems.
Develop and manage Azure Data Factory (ADF) and Synapse pipelines for data ingestion and transformation.
Work on data security implementation across storage and data movement layers.
Use Python, PySpark, and Spark SQL for data transformation and orchestration.
Create and maintain CI/CD pipelines for data workflows.
Understand and work with various file formats: JSON, Parquet, CSV, Excel, and both structured and unstructured datasets.
Collaborate with internal teams to support application integration and performance optimization.
Provide user support and documentation where required.
Key Skills Required
Expertise in Azure Data Lake, Lakehouse Architecture, Synapse Analytics, Databricks, and T-SQL.
Strong experience in ETL/ELT pipelines, working with large volumes of data.
Proficient with SQL Server, Synapse DB, and data warehousing concepts.
Understanding of metadata management, data catalogs, DWH, MPP, OLTP, and OLAP systems.
Familiar with Source Control tools like Git, TFS, or SVN.
Knowledge of Azure Data Fabric, Microsoft Purview, and MDM tools is a plus.
Experience working with non-functional requirements and performance tuning.
Strong communication skills and the ability to work effectively in a collaborative team environment.
Why Aspire?
Work on cutting-edge Azure Data & AI solutions.
Collaborate with a global team on enterprise-scale transformation projects.
Growth opportunities into Data Architect or Tech Lead roles.
Continuous learning and certification support.
Interested candidates can share their resume with keerthana.jayaraj@aspiresys.com
Experience: 7+ Years
Location: Chennai / Bangalore /Hyderabad /Kochi
About Aspire Systems
Aspire Systems is a global technology services firm offering end-to-end digital transformation and product engineering solutions. We are currently seeking an experienced Lead Azure Data Engineer to join our Data & Analytics team and help build scalable, secure, and intelligent data platforms.
Role Overview
As an Azure Data Engineer, you will be responsible for creating, managing, and optimizing data lakes and pipelines using Azure technologies. You will work with internal teams to build high-performance data platforms that support enterprise-grade analytics and reporting.
Key Responsibilities
Design and build data lakes and lakehouses from scratch, and configure existing systems.
Develop and manage Azure Data Factory (ADF) and Synapse pipelines for data ingestion and transformation.
Work on data security implementation across storage and data movement layers.
Use Python, PySpark, and Spark SQL for data transformation and orchestration.
Create and maintain CI/CD pipelines for data workflows.
Understand and work with various file formats: JSON, Parquet, CSV, Excel, and both structured and unstructured datasets.
Collaborate with internal teams to support application integration and performance optimization.
Provide user support and documentation where required.
Key Skills Required
Expertise in Azure Data Lake, Lakehouse Architecture, Synapse Analytics, Databricks, and T-SQL.
Strong experience in ETL/ELT pipelines, working with large volumes of data.
Proficient with SQL Server, Synapse DB, and data warehousing concepts.
Understanding of metadata management, data catalogs, DWH, MPP, OLTP, and OLAP systems.
Familiar with Source Control tools like Git, TFS, or SVN.
Knowledge of Azure Data Fabric, Microsoft Purview, and MDM tools is a plus.
Experience working with non-functional requirements and performance tuning.
Strong communication skills and the ability to work effectively in a collaborative team environment.
Why Aspire?
Work on cutting-edge Azure Data & AI solutions.
Collaborate with a global team on enterprise-scale transformation projects.
Growth opportunities into Data Architect or Tech Lead roles.
Continuous learning and certification support.
Interested candidates can share their resume with keerthana.jayaraj@aspiresys.com
Apply for this position
Application Status
Application Draft
In Progress
Submit Application
Pending
Review Process
Expected within 5-7 days
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