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Senior/Lead Azure Data Engineer at Srijan

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Srijan

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Srijan 3.5(45)

Gurugram · On-site · 5-8 Yrs · 23 hours ago

2 views

51 to 200 Employees · New Delhi, India

3 open roles2 posted in 7d3 in 30d

Work-life balance 3.2Compensation & benefits 2.9Culture & values 3.4

Hiring: Engineering

What employees say

+ Good organisation with timely Salary and friendly work culture

− Only cons is that it demands you to live in village

More reviews on the company profile.

Interview experience · Program Manager

Okay- Vague questions; they expect you to know a lot about rural life, assimilation is key to getting selected. Know basic theory of rural development- like log frame etc. Expect them to ask endless questions - they are

Easy difficulty · Pālī, Rajasthan · 7 reports

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Job description

Overview

Experience with Azure Ecosystem (Preferably Synapse): 5+ years of hands-on experience with Azure Ecosystem , including Synapse , Spark , OneLake , and other Fabric tools. Expertise in optimising Fabric notebooks and efficiently managing large-scale data workloads.

Responsibilities

5+ years of hands-on experience with Azure Ecosystem , including Synapse , Spark , OneLake , and other Fabric tools. Expertise in optimising Fabric notebooks and efficiently managing large-scale data workloads.
Strong experience with designing and orchestrating complex data pipelines using Azure Data Factory , with an emphasis on seamless data flow integration across various Azure services.
A working knowledge or eagerness to learn Azure Data Fabric , focusing on cross-platform data orchestration, governance, and security.
Extensive experience in data engineering, including the design and implementation of ETL processes and working with large datasets. Proven expertise in data quality , monitoring, and testing practices.
Experience designing and implementing data architectures in the Azure ecosystem , including tools such as Data Lake , Synapse , and Azure Storage .
Strong skills in SQL and data modelling , with the ability to design optimised data structures, tables, and views. Knowledge of both transactional and analytical data modelling.
Strong ability to work cross-functionally with teams from various domains. Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
Proven experience optimising data engineering processes and Azure resources for both performance and cost, particularly in large-scale cloud environments.
Knowledge of Azures full ecosystem for end-to-end data integration and ETL processes.
Expertise in PySpark for data processing tasks, with a solid foundation in Python .
Familiarity with Fabric and how it integrates with other services within the Azure ecosystem .

Qualifications

Databricks Experience: Experience with Databricks is a plus.

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Job application FAQ

Last updated 13 October 2026

How do I apply for Senior/Lead Azure Data Engineer at Srijan?: 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. Srijan may attach structured assessments to interview rounds after you apply.
Does Feedback AI show a match score for this Senior/Lead Azure Data Engineer 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 Senior/Lead Azure Data Engineer remote or on-site in Gurugram, Haryana?: This listing is marked on_site with location Gurugram, Haryana. Confirm details on the job description before applying.
What skills matter for this Senior/Lead Azure Data Engineer role at Srijan?: This is a lead Senior/Lead Azure Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.

Job description

Overview

Responsibilities

Qualifications

Job application FAQ

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