DigitalXNode
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Delhi · On-site · 1-3 Yrs · 6 days ago
51 to 200 Employees · New Delhi, India
Hiring: Engineering
What employees say
+ there is no pros for this company
− they cheat with people by not giving salary and commissions they take work and never pay any amount
More reviews on the company profile.
Job description
Overview
We are looking for a skilled Azure Data Engineer who enjoys working with large datasets and building efficient, scalable data systems.
Responsibilities
- Develop and maintain robust data pipelines using PySpark and Azure Databricks
- Build and orchestrate workflows with Azure Data Factory
- Manage and optimize data storage using Azure Data Lake
- Work with structured and unstructured data from multiple sources
- Design efficient data models to support analytics and reporting
- Ensure data quality, performance, and reliability across systems
- Collaborate with analysts, developers, and stakeholders to understand data needs
- Continuously improve pipeline performance and cost efficiency
Qualifications
- Hands-on experience in Python and PySpark
- Strong working knowledge of:
- Azure Databricks
- Azure Data Factory
- Azure Data Lake
- Azure Synapse / SQL Data Warehouse
- Solid understanding of SQL and relational databases
- Experience with big data ecosystems such as Apache Spark, Kafka, or Hive
- Familiarity with data modeling and ETL processes
Nice to have
- Experience working with Delta Lake
- Exposure to CI/CD pipelines and Azure DevOps
- Knowledge of Docker or Kubernetes
- Experience with visualization tools like Power BI or Tableau
- Basic understanding of machine learning workflows
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Job application FAQ
Last updated 22 October 2026
- How do I apply for Azure Data Engineer – Gurgaon (PySpark + Databricks) at DigitalXNode?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. DigitalXNode may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Azure Data Engineer – Gurgaon (PySpark + Databricks) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Azure Data Engineer – Gurgaon (PySpark + Databricks) remote or on-site in New Delhi, Delhi (+1 other)?
- This listing is marked on_site with location New Delhi, Delhi (+1 other). Confirm details on the job description before applying.
- What skills matter for this Azure Data Engineer – Gurgaon (PySpark + Databricks) role at DigitalXNode?
- This is a mid-level Azure Data Engineer – Gurgaon (PySpark + Databricks) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.