Senior/Azure Data Engineer

Dxc Technology

Gurugram, Noida

8-13 Years

Save

Posted a month ago
Over 100 applicants

Quick Apply

Job Description

Roles and Responsibilities :

Overall 8+ Years of experience.
At least 5+ years of relevant hands-on development experience as Azure Data Engineering role
Proficient in Azure technologies like ADB, ADF, SQL(capability of writing complex SQL queries), ADB, PySpark, Python, Synapse, Delta Tables, Unity Catalog
Hands on in Python, PySpark or Spark SQL
Hands on in Azure Analytics and DevOps
Taking part in Proof of Concepts (POCs) and pilot solutions preparation
Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows
Experience in business processing mapping of data and analytics solutions

More Info

Job Type:

Permanent Job

Industry:

Consulting

Role:

Software Engineer /Programmer

Function:

Employment Type:

Full time

About Company

Dxc Technology

DXC Technology (NYSE: DXC) is a leading global provider of information technology services. We’re a trusted operating partner to many of the world’s most innovative organizations, building solutions that move industries and companies forward. Our engineering, consulting and technology experts help clients simplify, optimize and modernize their systems and processes, manage their most critical workloads, integrate AI-powered intelligence into their operations, and put security and trust at the forefront. Learn more on dxc.com.

Job ID: 122262755

Jobs by Skill - IT

Jobs by Skill - Non IT

International Jobs

Last Updated: 17-04-2026 06:28:25 AM

Homejobs in Gurgaon / GurugramSenior/Azure Data Engineer

Similar Jobs

IN_Senior Associate_Azure cloud data engineer_Data & Analytics_Advisory_Noida

PwC India

6-8 yrs

Noida, India

Skills:

Apache Spark, Azure Databricks, Data Modeling, Data Warehousing, Python Programming, Azure Data Factory, Git Version Control, BI tools integration, Azure Blob Storage, Denormalization, Strong SQL skills, Azure Data Lake Storage, Building scalable ETL pipelines, Normalization