Data Engineer

Natlov Technologies Pvt Ltd; Delhi; Remote; INR 600,000 - 900,000; Full time

Job summary

Natlov Technologies Pvt Ltd is seeking an Azure Data Engineer to join a remote team in India. The role involves designing, building, and optimizing data pipelines using Azure services and Spark-based tools. Immediate joining is preferred.

You will work with ADLS, Delta Lake, Medallion Architecture, and governance features like Unity Catalog, while leveraging Azure SQL Database and Synapse for analytics and warehousing needs. Night shift and 1–2 years experience are specified.

Qualifications

• Experience with cloud-based data engineering on Azure.
• Hands-on experience with data pipelines and processing.
• Proficient in Python, PySpark, and SQL.

Responsibilities

• Designing and developing scalable data pipelines using Azure Data Factory (ADF).
• Working with Azure Databricks for data processing and transformation.
• Developing data solutions using Python, PySpark, and Apache Spark.
• Writing optimized SQL queries for data extraction, transformation, and analysis.
• Working with Azure Data Lake Storage (ADLS) for storing and managing large volumes of data.
• Implementing Delta Lake and understanding Medallion Architecture for efficient data management.
• Using Azure DevOps and Git for source control, collaboration, and deployment.
• Working with Unity Catalog and applying data governance and access-control practices.
• Working with Azure SQL Database and Azure Synapse for analytical and data warehousing requirements.
• Troubleshooting data pipeline issues and improving performance, reliability, and scalability.

Tools

Azure Data Factory

Azure Databricks

Python

PySpark

Apache Spark

SQL

Azure Data Lake Storage

Delta Lake

Medallion Architecture

Azure DevOps

Git

Unity Catalog

Azure SQL Database

Azure Synapse

Job description

We are looking for a skilled and motivated Azure Data Engineer to join our team and work on modern cloud-based data engineering projects. If you have hands-on experience with Azure data services, Databricks, Python, PySpark, and SQL, this could be a great opportunity to grow your career while working in a remote environment.

Experience: 1–2 Years

Work Mode: Remote

Shift: Night Shift

Joining: Immediate joiners or candidates with a short notice period are preferred

As an Azure Data Engineer, you will be responsible for developing, maintaining, and optimizing data pipelines and data processing solutions using Microsoft Azure technologies. You will work with different data sources and transform raw data into reliable, structured, and business-ready datasets.

Your responsibilities may include:

• Designing and developing scalable data pipelines using Azure Data Factory (ADF).
• Working with Azure Databricks for data processing and transformation.
• Developing data solutions using Python, PySpark, and Apache Spark.
• Writing optimized SQL queries for data extraction, transformation, and analysis.
• Working with Azure Data Lake Storage (ADLS) for storing and managing large volumes of data.
• Implementing Delta Lake and understanding Medallion Architecture for efficient data management.
• Using Azure DevOps and Git for source control, collaboration, and deployment.
• Working with Unity Catalog and applying data governance and access-control practices.
• Working with Azure SQL Database and Azure Synapse for analytical and data warehousing requirements.
• Troubleshooting data pipeline issues and improving performance, reliability, and scalability.

Candidates should have practical knowledge of: