Azure Data Engineer

Mopid; Bengaluru; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

Mopid is seeking an experienced Azure Data Engineer in Bengaluru to design, build, and optimize scalable data pipelines using Azure Data Factory and Synapse. You will work with AB APIs, databases, and file systems to ensure data quality and governance across cloud data platforms. Strong SQL and data modeling skills are required.

You will collaborate with architects, analysts, and business teams to deliver robust data solutions and improve pipeline reliability at scale.

Qualifications

• 5–10 years of experience in Data Engineering or related roles.
• Design, build, and optimize scalable data pipelines and cloud-based data solutions using Azure services.
• Develop and manage ADF pipelines for data ingestion and transformation.
• Build ETL/ELT workflows using ADLS Gen2 and Azure Synapse.
• Collaborate with architects, analysts, and business teams to deliver effective data solutions.

Responsibilities

• Develop and manage ADF pipelines for data ingestion and transformation.
• Build ETL/ELT workflows using ADLS Gen2 and Azure Synapse.
• Integrate data from multiple sources, including APIs, databases, and file systems.
• Monitor, troubleshoot, and optimize pipeline performance and reliability.
• Ensure data quality, validation, governance, and compliance standards.
• Collaborate with architects, analysts, and business teams to deliver effective data solutions.

Skills

SQL

Data modeling

Cloud architecture

ETL processes

Tools

Azure Data Factory (ADF)

Azure SQL

Azure Synapse

ADLS Gen2

Python

C#

Job description

5–10 years of experience in Data Engineering or related roles.

Role Summary

Job Title: Azure Data Engineer Location: Bangalore Experience

5–10 years of experience in Data Engineering or related roles.

Role Summary

We are seeking an experienced Azure Data Engineer with strong expertise in Azure Data Factory (ADF) to design, build, and optimize scalable data pipelines and cloud-based data solutions.

Key Responsibilities

• Develop and manage ADF pipelines for data ingestion and transformation.
• Build ETL/ELT workflows using ADLS Gen2 and Azure Synapse.
• Integrate data from multiple sources, including APIs, databases, and file systems.
• Monitor, troubleshoot, and optimize pipeline performance and reliability.
• Ensure data quality, validation, governance, and compliance standards.
• Collaborate with architects, analysts, and business teams to deliver effective data solutions.

Technical Skills

• Strong hands‑on experience with Azure Data Factory (ADF).
• Proficiency in SQL and data modeling.
• Experience with Azure SQL, Azure Synapse, and ADLS Gen2.
• Knowledge of Python or C#.
• Understanding of ETL processes, data warehousing concepts, and cloud architecture.

Azure Data Factory (ADF),SQL,PySpark