Hr Full stack data engineer Jobs – 193 Open Jobs Today

Data Engineer with Fabric
AiRo Digital Labs —Gurugram, Haryana
- Full-time
- Hybrid work
- Microsoft Access
- Azure
- Computer Science
19h
Principal Engineer - Frontend
ixigo —Gurugram, Haryana
- Full-time
- Java
- Bachelor's degree
- Machine learning
Quick apply
2d
Senior Full Stack Engineer (Voice AI)
ixigo —Gurugram, Haryana
- Full-time
- Azure
- System design
- Databases
Quick apply
Python & React Full Stack Developer
Srijan Technologies PVT LTD —Gurugram, Haryana
- Azure
- AWS
- JavaScript
Quick apply
Network Engineer
FABO global services pvt Ltd —Gurugram, Haryana
- ₹1,500 - ₹2,200 a day
- Computer Science
- B.Sc
- Bachelor's degree
Quick apply
Java Full Stack Developer
IMPRONICS DIGITECH PRIVATE LIMITED —Gurugram, Haryana
- Oracle
- Computer Science
- Software troubleshooting
Quick apply
Data Engineer (SQL, PySpark, Snowflake, DBT, Redshift) - Associate
Kohlberg Kravis Roberts & Co. —Gurugram, Haryana
- Email
- Databases
- SQL
- AWS
6d
Power BI Data Analytics / Visualization Engineer
Elevondata —Gurugram, Haryana
- Azure
- Computer Science
- Windows
Analyst-Software Engineer
PFI Innovation Centre India —Gurugram, Haryana
- Hybrid work
- Computer Science
- Java
- AWS
Quick apply
Lead Engineer-ML DevOps Engineer-AWS
NeST Digital —Panipat, Haryana
- Full-time
- Azure
- Java
- AWS
Backend Engineer (Node.js + Kafka)
SID Global Solutions —Gurugram, Haryana
- Full-time
- Azure
- DevOps
- Databases
Full Stack Developer
EXL Service —Gurugram, Haryana
- Full-time
- Hybrid work
- Engineering
- Master's degree
- Bachelor's degree
1970744-Manager
EXL Service —Gurugram, Haryana
- Full-time
- Master's degree
- Machine learning
- AI
AI / ML Engineer
Accenture —Gurugram, Haryana
- Full-time
- Azure
- Master's degree
- AWS
Senior Software Engineer - Web
ixigo —Gurugram, Haryana
- Full-time
- Software troubleshooting
- Databases
- AWS
Quick apply
Risk Analytics - Full Stack Engineer - Senior
EY —Gurugram, Haryana
- Azure
- DevOps
- AWS
- Health insurance
6d
Software Engineer, Avaloq, AVP
National Westminster Bank PLC —Gurugram, Haryana
- Full-time
- DevOps
- Java
- SQL
IT Hardware & Software Support Engineer
SWARAN SOFT SUPPORT SOLUTIONS PRIVATE LIMITED —Gurugram, Haryana
- Azure
- Computer Science
- Software troubleshooting
Quick apply
Senior Full Stack Engineer
Optum —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- AWS
- Health insurance
Senior Software Engineer
PayU —Gurugram, Haryana
- Computer Science
- Java
- Databases

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Data Engineer with Fabric

AiRo Digital Labs -
Gurugram, Haryana

Apply Now

Job details

Full-time
19 hours ago

Qualifications

CI/CD
Power BI
Microsoft Access
Azure
Computer Science
DevOps
Spark
Git
Master's degree
SQL
RBAC
Bachelor's degree
Scala
Continuous integration
Azure Certification
REST
GitHub
APIs
Kafka
AI
GitLab
Python
Identity & access management
T-SQL
Analytics

Full job description

Key Job Details

Location : Hybrid (Gurgaon/Noida/Pune/Mumbai/Bangalore)

Level : Mid-level

Employment type : Full Time

Job Description

We’re seeking a Microsoft Fabric Data Engineer to design, develop, and operationalize end-to-end analytics solutions on Microsoft Fabric. You will own the data lifecycle—from ingestion and transformation to semantic modelling, warehousing, real-time analytics, and BI—leveraging One Lake, Lakehouse, Data Factory, Synapse Data Warehouse, Real-Time Analytics (KQL), and Power BI.

Experience Required

5-8 Years

Key Responsibilities

Data Engineering & Modeling

Implement robust ELT/ETL pipelines with Git integration, CI/CD, deployment pipelines, and parameterization.
Develop high-quality semantic models (Direct Lake/Import/DQ), DAX measures, and calculation groups for high-performance BI.
Optimize storage and compute in OneLake using shortcuts, mirroring, and incremental loading strategies.

Real-Time & Streaming

Create Real-Time Analytics solutions using KQL, event streams, and integrations with streaming services to power low-latency dashboards and alerting.

Governance, Security & Compliance

Implement data governance with Microsoft Purview: lineage, glossary, data classification, and access policies.
Enforce security best practices: RBAC, MS Entra ID (Azure AD) integration, conditional access, row/object-level security, and secrets management.
Define DR/backups, cost management, and monitoring/observability (workspace metrics, pipeline runs, Spark job performance).

Operational Excellence

Establish development standards, coding conventions, unit/integration testing, and reliability patterns.
Lead performance tuning for Spark, SQL, and BI models; troubleshoot cross-component issues end-to-end.
Mentor engineers and partner closely with analytics, product, and business stakeholders to translate requirements into reliable solutions.

Required Qualifications

- 5–8 years in data engineering/analytics; 3–5 years building at scale in Azure/Microsoft data stack.
- Deep, hands-on expertise with Microsoft Fabric, including:
- - - OneLake, Lakehouse, Delta Tables, Shortcuts/Mirroring
    - Data Engineering (Spark Notebooks, PySpark/Scala/SQL)
    - Data Factory (pipelines), Dataflows Gen2
    - Synapse Data Warehouse (T-SQL, ELT patterns)
    - Power BI (Semantic Models, DAX, Direct Lake, performance tuning)
    - Real-Time Analytics (KQL, event streams)
- Strong skills in Python (PySpark), SQL/T-SQL, DAX, Git/GitHub/GitLab.
- Experience with CI/CD (Azure DevOps/GitHub Actions), deployment pipelines, and infrastructure-as-code for analytics workspaces.
- Solid understanding of data governance (Purview), security models (RLS/OLS, IAM), and cost optimization.

Preferred/Bonus Skills

Experience with Databricks, Azure Data Explorer, Event Hub/Kafka, REST APIs, and Python packaging for reusable transformations.
Advanced Power BI capabilities (composite models, aggregations, calculation groups, query folding).
Knowledge of dimension modeling, Kimball/Inmon, and data product thinking.
Exposure to Copilot in Fabric, AI integration, and augmenting analytics workflows with LLMs.

Education & Certifications

Bachelor’s/Master’s in Computer Science, Data Engineering, or related field (or equivalent experience).
Certifications (nice to have):
- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Azure Data Engineer Associate (DP-203)
- Microsoft Certified: Power BI Data Analyst Associate

Key Job Details

Location : Hybrid (Gurgaon/Noida/Pune/Mumbai/Bangalore)

Level : Mid-level

Employment type : Full Time

Job Description

Experience Required

5-8 Years

Key Responsibilities

Data Engineering & Modeling

Implement robust ELT/ETL pipelines with Git integration, CI/CD, deployment pipelines, and parameterization.
Develop high-quality semantic models (Direct Lake/Import/DQ), DAX measures, and calculation groups for high-performance BI.
Optimize storage and compute in OneLake using shortcuts, mirroring, and incremental loading strategies.

Real-Time & Streaming

Create Real-Time Analytics solutions using KQL, event streams, and integrations with streaming services to power low-latency dashboards and alerting.

Governance, Security & Compliance

Implement data governance with Microsoft Purview: lineage, glossary, data classification, and access policies.
Enforce security best practices: RBAC, MS Entra ID (Azure AD) integration, conditional access, row/object-level security, and secrets management.
Define DR/backups, cost management, and monitoring/observability (workspace metrics, pipeline runs, Spark job performance).

Operational Excellence

Establish development standards, coding conventions, unit/integration testing, and reliability patterns.
Lead performance tuning for Spark, SQL, and BI models; troubleshoot cross-component issues end-to-end.
Mentor engineers and partner closely with analytics, product, and business stakeholders to translate requirements into reliable solutions.

Required Qualifications

- 5–8 years in data engineering/analytics; 3–5 years building at scale in Azure/Microsoft data stack.
- Deep, hands-on expertise with Microsoft Fabric, including:
- - - OneLake, Lakehouse, Delta Tables, Shortcuts/Mirroring
    - Data Engineering (Spark Notebooks, PySpark/Scala/SQL)
    - Data Factory (pipelines), Dataflows Gen2
    - Synapse Data Warehouse (T-SQL, ELT patterns)
    - Power BI (Semantic Models, DAX, Direct Lake, performance tuning)
    - Real-Time Analytics (KQL, event streams)
- Strong skills in Python (PySpark), SQL/T-SQL, DAX, Git/GitHub/GitLab.
- Experience with CI/CD (Azure DevOps/GitHub Actions), deployment pipelines, and infrastructure-as-code for analytics workspaces.
- Solid understanding of data governance (Purview), security models (RLS/OLS, IAM), and cost optimization.

Preferred/Bonus Skills

Experience with Databricks, Azure Data Explorer, Event Hub/Kafka, REST APIs, and Python packaging for reusable transformations.
Advanced Power BI capabilities (composite models, aggregations, calculation groups, query folding).
Knowledge of dimension modeling, Kimball/Inmon, and data product thinking.
Exposure to Copilot in Fabric, AI integration, and augmenting analytics workflows with LLMs.

Education & Certifications

Bachelor’s/Master’s in Computer Science, Data Engineering, or related field (or equivalent experience).
Certifications (nice to have):
- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Azure Data Engineer Associate (DP-203)
- Microsoft Certified: Power BI Data Analyst Associate

Apply Now

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Key Job Details

Job Description

Experience Required

Key Responsibilities

Data Engineering & Modeling

Real-Time & Streaming

Governance, Security & Compliance

Operational Excellence

Required Qualifications

Preferred/Bonus Skills

Education & Certifications

Key Job Details

Job Description

Experience Required

Key Responsibilities

Data Engineering & Modeling

Real-Time & Streaming

Governance, Security & Compliance

Operational Excellence

Required Qualifications

Preferred/Bonus Skills

Education & Certifications