Azure Data Engineer

Mopid; Maharashtra; On-site; INR 900,000 - 1,900,000; Full time

Job summary

Mopid is seeking an experienced Azure Data Engineer to design and optimize scalable data pipelines using Azure Data Factory.

You will build ETL/ELT processes with ADLS Gen2, Azure Synapse, and SQL, collaborate with architects and business teams to deliver cloud-based data solutions and ensure data quality and governance.

Shaping data architecture and monitoring performance across ingestion, processing, and storage layers will be your focus.

Qualifications

• 5+ years of experience in data engineering or related roles.
• Experience designing and building Azure data pipelines with ADF.
• Strong SQL and data modeling skills.

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 (APIs, databases, files).
• Monitor and optimize pipeline performance and reliability.
• Ensure data quality, validation, and governance.
• Collaborate with architects and business teams on data solutions.

Tools

Azure Data Factory (ADF)

SQL

Azure Synapse

ADLS Gen2

Python

C#

Job description

5+ years 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 (APIs, databases, files)
• Monitor and optimize pipeline performance and reliability
• Ensure data quality, validation, and governance
• Collaborate with architects and business teams on data solutions

Technical Skills

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

Azure Data Factory, SQL, PySpark