Azure Data Engineer

N Consulting; Pune District; On-site; INR 12,000 - 19,000; Full time

Job summary

A data consulting firm in Pune is seeking an Azure Data Engineer with 8-10 years of experience in data engineering. The role involves building scalable data pipelines and working with cloud platforms like Azure, AWS, or GCP. Ideal candidates should have proficiency in big data technologies such as Spark and Hadoop, and strong programming skills in Python or Java. The position offers a hybrid work model and requires collaboration with cross-functional teams.

Qualifications

• 8–10+ years of experience in data engineering or related roles.
• Strong experience in designing and building scalable data pipelines.
• Hands-on experience with cloud platforms like Azure, AWS, or GCP.
• Proficient in big data technologies such as Spark, Hadoop, and Kafka.
• Skilled in ETL development, data modeling, and data warehousing.

Responsibilities

• Build and maintain scalable data pipelines.
• Collaborate with distributed teams and stakeholders.
• Develop analytics solutions and machine learning pipelines.

Skills

Data engineering

Cloud platforms (Azure, AWS, GCP)

Big data technologies (Spark, Hadoop, Kafka)

ETL development

Programming in Python, Scala, or Java

Containerization tools (Docker, Kubernetes)

Data governance and compliance knowledge

Education

Bachelor's degree in Computer Science or related field

Job description

LocationPune, India# Azure Data Engineer at N Consulting LtdLocationPune, IndiaSalary₹12 - ₹19 /yearJob TypeFull-timeDate PostedFebruary 25th, 2026Apply NowDear Candidates ,Hiring for Azure Data engineerLocation: PuneMode of work :HybridJD: Description:" Bachelor’s or higher degree in Computer Science, Engineering, or related field. 8–10+ years of experience in data engineering or related roles. Strong experience in designing and building scalable data pipelines. Hands-on experience with cloud platforms like Azure, AWS, or GCP. Proficient in big data technologies such as Spark, Hadoop, and Kafka. Skilled in ETL development, data modeling, and data warehousing. Experience with relational and NoSQL databases like SQL Server, PostgreSQL, and MongoDB. Strong programming skills in Python, Scala, or Java. Familiar with orchestration tools like Airflow, Azure Data Factory, or similar. Experience in building analytics solutions and machine learning pipelines. Knowledge of CI/CD practices and infrastructure automation. Experience with containerization tools like Docker and Kubernetes. Understanding of data governance, security, and compliance standards. Proven ability to work with distributed teams and cross-functional stakeholders. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Experience working in Agile environments and delivering high-quality solutions."