Azure Data Engineer

Etalent Services Bareilly; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

Etalent Services Bareilly is seeking an Azure Data Engineer to design, build, and optimize cloud-based data pipelines on Azure. The role is remote and welcomes 4–8 years of hands-on experience with Azure Data Factory, ADLS, Synapse, Databricks, SQL, Python, PySpark and Spark.

You will drive ETL/ELT processes, data modeling, and performance tuning, collaborating with teams on data warehousing initiatives and CI/CD workflows.

Qualifications

• Experience in ETL/ELT and data warehousing.
• Strong SQL and Python skills.
• Knowledge of Git and CI/CD preferred.
• 4–8 years of relevant data engineering experience.

Responsibilities

• Develop and maintain scalable data pipelines on Azure.
• Work with Azure Synapse, Databricks, and Spark.
• Optimize data integration and performance across systems.

Skills

ETL/ELT

Data warehousing

Data modeling

Performance optimization

Git CI/CD knowledge

Tools

Azure Data Factory

ADLS

Azure Synapse

Databricks

SQL

Python

PySpark

Spark

Job description

Azure Data Engineer | Remote | 4-8 Years

Develop and maintain scalable data pipelines and cloud data solutions on Azure. Strong hands-on experience with Azure Data Factory, ADLS, Azure Synapse, Databricks, SQL, Python, PySpark and Spark.

Required Candidate profile

Experience in ETL/ELT, data warehousing, data modeling, data integration and performance optimization. Knowledge of Git and CI/CD preferred.