Sr. Data Engineer

N Human Resources & Management Systems

Gurugram District

On-site

INR 2,800,000 - 4,400,000

Full time

14 days+

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Job summary

N Human Resources & Management Systems in Delhi NCR region or Dehradun is seeking a Senior Data Engineer to own end-to-end data pipeline design on Azure. The role covers data ingestion, transformation, warehousing, and reporting with exposure to SAP Basis or Oracle DBA considered a plus.

You will collaborate with cross-functional teams to deliver scalable analytics solutions, ensure data quality and governance, and drive performance improvements across data platforms.

Qualifications

  • 5-8 years of experience in Data Engineering within IT services or related industry.
  • Strong hands-on experience with Apache Spark, PySpark, and Delta Lake.
  • Proficiency in Azure DataFactory, Azure Databricks, and Azure Analysis Services.
  • Strong SQL skills (MS SQL) for data modeling, transformation, and performance tuning.
  • Working knowledge of Microsoft Power BI for data visualization and reporting.
  • Experience with Azure DevOps for CI/CD and Azure Cloud Administration.
  • Proficiency in Python for dataengineering and automation tasks.
  • Exposure to SAP Basis Administration and/or Oracle Database Administration is a plus.

Responsibilities

  • Design, build, and maintains scalable ETL/ELT pipelines using Azure Data Factory and Azure Databricks.
  • Develop and optimize big data processing workflows using Apache Spark and PySpark.
  • Build and maintain data models and semantic layers using Azure Analysis Services for reporting and analytics.
  • Develop dashboards and reports in Microsoft Power BI for business stakeholders.
  • Write and optimize complex queries in MS SQL for data extraction, transformation, and validation.
  • Manage CI/CD pipelines and deployment workflows using Azure DevOps.
  • Administer and monitor Azure Cloud infrastructure supporting data platforms.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical data solutions.
  • Ensure data quality, governance, and performance optimization across pipelines and platforms.
  • (Value-add) Support SAP Basis Administration and Oracle Database Administration tasks where required.

Skills

5-8 years data engineering
Apache Spark
PySpark
Delta Lake
Python
MS SQL
Power BI
Azure Data Factory
Azure Databricks
Azure Analysis Services
Azure DevOps
Azure Cloud Administration
Linux
Windows Server
SAP Basis Administration
Oracle Database Administration

Education

Bachelor's Degree in Engineering— Computer Science / IT / Computer Systems Technology or related field

Tools

Azure Data Factory
Azure Databricks
Azure Analysis Services
MS SQL
Power BI
Azure DevOps
SAP Basis Administration
Oracle Database Administration
Delta Lake
Apache Spark
PySpark

Job description

N Human Resources & Management Systems | Full time

Position
Department
Location

Delhi NCR region or Dehradun

Experience Required

5-8 Years

Reporting To

Data Engineering Lead /Manager

Employment Type

Full-Time

RoleSummary

Weare looking for a Senior Data Engineer.Thecandidate will own end-to-end data pipeline design and development on Azure,working across data ingestion, transformation, warehousing, and reportinglayers, with additional exposure to SAP Basis / database administrationconsidered a strong plus.

KeyResponsibilities
  • Design, build, and maintainscalable ETL/ELT pipelines using Azure Data Factory and Azure Databricks.
  • Develop and optimize big dataprocessing workflows using Apache Spark and PySpark.
  • Build and maintain data modelsand semantic layers using Azure Analysis Services for reporting and analytics.
  • Develop dashboards and reportsin Microsoft Power BI for business stakeholders.
  • Write and optimize complexqueries in MS SQL / SQL for data extraction, transformation, and validation.
  • Manage CI/CD pipelines anddeployment workflows using Azure DevOps.
  • Administer and monitor AzureCloud infrastructure supporting data platforms.
  • Collaborate withcross-functional teams to gather requirements and translate them into technicaldata solutions.
  • Ensure data quality, governance,and performance optimization across pipelines and platforms.
  • (Value-add) Support SAP BasisAdministration and Oracle Database Administration tasks where required.
RequiredSkills & Experience
  • 5-8 years of experience in DataEngineering within IT services or a related industry.
  • Strong hands-on experience withApache Spark, PySpark, and Delta Lake.
  • Proficiency in Azure DataFactory, Azure Databricks, and Azure Analysis Services.
  • Strong SQL skills (MS SQL) fordata modeling, transformation, and performance tuning.
  • Working knowledge of MicrosoftPower BI for data visualization and reporting.
  • Experience with Azure DevOps forCI/CD and Azure Cloud Administration.
  • Proficiency in Python for dataengineering and automation tasks.
  • Working knowledge of Linux andWindows server environments.
  • Exposure to SAP BasisAdministration and/or Oracle Database Administration is an added advantage.
PreferredCertifications
  • Any additional Microsoft/Azureor Data Engineering certifications will be a plus
Education
  • Bachelor's Degree in Engineering— Computer Science / IT / Computer Systems Technology or related field
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