✦ Luna Orbit — Data & Analytics

Data Engineer - Mobility

at S&P Global

📍 IN - GURUGRAM VILLAGE NATHUPUR THE AMBIENCE CORPORATE TOWER II Hybrid Posted March 13, 2026
Type Not Specified
Experience mid
Exp. Years 4-6 years
Education Bachelors or an advanced degree in Computer Science or related engineering discipline
Category Data & Analytics

This role involves building and supporting data pipelines in a cloud environment, focusing on ingestion, processing, and analytics for automotive sales data.

  • Build data pipelines
  • Support data ingestion
  • Develop data marts and KPIs
  • Implement real-time dashboards
  • Mentor team members

The technical scope includes data engineering with SQL, Python, cloud platforms (GCP, Azure, AWS), Docker, and Terraform, supporting real-time and batch data processing.

The ideal candidate is a data engineer with 4-6 years of experience in building data pipelines, proficient in SQL, Python, and cloud platforms like AWS, GCP, or Azure, with strong skills in data warehousing and containerization.

4-6 years of experience in Data EngineeringStrong SQL skillsExperience with cloud providers (GCPAzureAWS)Experience with data pipelines and ETL/ELT processesExperience with Docker and Terraform
BI tools (TableauPower BI)NoSQL databasesData GovernanceData Catalog
GCPAzureAWSPostgresDockerTerraformAzure DevOpsGoogle Cloud ComposerGIT
Data EngineeringBig DataData PipelinesETLELTSQLPythonData WarehousingData MartsCloud PlatformsDockerTerraformGIT
Data EngineeringBig DataData PipelinesETLELTSQLPythonData WarehousingData MartsReal-time MonitoringCloud Platforms (GCPAzureAWS)DockerGitTerraform
problem solvingcommunicationcollaborationmentoringadaptability
Industry Automotive / Data Engineering
Job Function Data engineer focused on cloud-based data pipelines and analytics
Data EngineerBig DataETLELTData PipelinesSQLPythonData WarehousingData MartsCloud PlatformsGCPAzureAWSDockerTerraformGITReal-time Monitoring

Less than 4 years of experience, No experience with cloud providers (GCP, Azure, AWS), Lack of experience with Docker or Terraform

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