Azure Data Engineer | PySpark & SQL Pipelines

Inxite Out; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Inxite Out is seeking a Data Engineer with 3+ years of experience in Python/PySpark, SQL, data warehousing, and Azure ETL to build scalable data pipelines.

You will develop pipelines using Azure data services, write complex SQL, and collaborate with business and technical teams to deliver data solutions. This full-time role requires a relevant degree and offers opportunities to work on modern data platforms.

Qualifications

• 3+ years of experience in Data Engineering/Data Warehousing.
• Strong Python/PySpark and SQL skills.
• Hands-on experience with Azure data services and ETL.
• Good understanding of data integration and data warehousing.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Develop and maintain data pipelines using Python/PySpark.
• Build ETL/ELT solutions using Azure Data Factory, Data Lake, Blob Storage, Databricks, Synapse, and Azure SQL.
• Write complex SQL queries, stored procedures, and transformations.
• Collaborate with business and technical teams to deliver data solutions.
• Troubleshoot data and pipeline issues and follow engineering best practices.
• Use Git, Azure DevOps, and Jira for development and project tracking.

Skills

Data engineering

Python/PySpark

SQL

Data warehousing

Azure ETL

Education

B.Sc./BCA/B.Tech/B.E. or any Postgraduate degree

Tools

Azure Data Factory

Azure Data Lake

Blob Storage

Databricks

Synapse

Azure SQL

Git

Azure DevOps

Jira

Job description

Inxite Out is seeking a Data Engineer with 3+ years of experience in Python/PySpark, SQL, data warehousing, and Azure ETL to build scalable data pipelines.

You will develop pipelines using Azure data services, write complex SQL, and collaborate with business and technical teams to deliver data solutions. This full-time role requires a relevant degree and offers opportunities to work on modern data platforms.