Data Engineer Position

15 hours ago


Vadodara Chennai Mumbai, India beBeeGeospatial Full time ₹ 15,00,000 - ₹ 25,00,000

Job Title: Geospatial Data Architect

About the Role:

We are seeking an experienced Geospatial Data Architect to design and develop scalable data models to support diverse business requirements. The ideal candidate will have a strong background in processing geospatial data and working with GIS, ArcGIS, and ESRI.

Key Responsibilities:

  • Analyze, transform, and visualize geospatial data from GIS systems.
  • Design, develop, and maintain data pipelines for collecting, transforming, and loading data into various data stores.
  • Build and maintain data warehousing and data lake solutions.
  • Develop and deploy scalable data models to support diverse business requirements.
  • Write efficient, scalable code in Python, Scala, or Java.
  • Lead data solution design focusing on quality, automation, and performance.
  • Own data pipelines feeding into the Data Platform, ensuring reliability and scalability.
  • Ensure timely and fit-for-purpose data availability for business and analytics use.
  • Collaborate with stakeholders to understand their data needs and provide actionable solutions.
  • Communicate complex solutions clearly to both technical and non-technical stakeholders.

Requirements:

  • Proven experience with Geospatial data, GIS systems, ArcGIS, and ESRI.
  • Track record of delivering large-scale data and analytics solutions in cloud environments.
  • Hands-on expertise in implementing end-to-end data pipelines on AWS, including ETL, normalization, aggregation, warehousing, data lakes, and governance.
  • Strong experience developing Data Warehouses and understanding modern data architectures such as Data Lake, Lakehouse, Data Mesh.
  • Deep knowledge of data architecture, data modeling, and cost-effective data pipeline management.
  • Familiarity with CI/CD driven data pipelines and infrastructure tools (e.g., Bitbucket).
  • Experience with Agile delivery methodologies, including Scrum and Kanban.
  • Solid problem-solving skills and ability to communicate complex ideas effectively.

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