Azure Data Engineer

Careernet; Chennai District, Bengaluru, Khordha; On-site; INR 400,000 - 700,000; Full time

Job summary

Careernet in Chennai, India seeks an experienced data engineer to design and implement Azure-based data pipelines supporting analytics and data delivery. The role focuses on scalable ingestion, transformation, and reliable data workflows across the data lifecycle.

Ideal candidates will have 8–12 years in data engineering on cloud platforms, with hands-on experience in Azure services, Databricks, and Synapse. Strong collaboration with stakeholders is expected.

Qualifications

• 8-12 years of relevant experience in data engineering on cloud platforms.
• Azure cloud services for building and operating data solutions.
• Data engineering experience across the data pipeline lifecycle.
• Cloud-based data solutions development with a focus on scalability and reliability.
• Hands-on delivery of production-grade data workflows (ingestion, transformation, and data delivery)

Responsibilities

• Design and implement data engineering solutions on Azure, including scalable ingestion and transformation pipelines.
• Build and optimize cloud-based data solutions to support analytics, reporting, and data consumption use cases.
• Develop, test, and maintain data workflows with a focus on reliability, performance, and data quality.
• Collaborate with stakeholders to translate data requirements into technical designs and deliverables.
• Monitor pipeline health and troubleshoot data processing issues to ensure timely and accurate data delivery] ,

Skills

ADF

Python

Data engineering

Azure Databricks

Azure Cloud

Azure Synapse

Education

Bachelor's Degree in Computer Science

Master's Degree in Computer Science

Tools

Python

SQL

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Job description

Key Skills:

ADF, Python, Data Engineering, Azure Databricks, Azure Cloud, Azure Synapse

Roles and Responsibilities

• Design and implement data engineering solutions on Azure, including scalable ingestion and transformation pipelines.


• Build and optimize cloud-based data solutions to support analytics, reporting, and data consumption use cases.


• Develop, test, and maintain data workflows with a focus on reliability, performance, and data quality.


• Collaborate with stakeholders to translate data requirements into technical designs and deliverables.


• Monitor pipeline health and troubleshoot data processing issues to ensure timely and accurate data delivery.

Skills Required

• 8-12 years of relevant experience in data engineering on cloud platforms


• Azure cloud services for building and operating data solutions


• Data engineering experience across the data pipeline lifecycle


• Cloud-based data solutions development with a focus on scalability and reliability


• Hands-on delivery of production-grade data workflows (ingestion, transformation, and data delivery)

Good to Have

• Python


• SQL


• Azure Data Factory


• Azure Databricks


• Azure Synapse Analytics

Education

Bachelor's Degree in Computer Science, Master's Degree in Computer Science