Data Engineer - Geo Spatial in Bangalore, भारत

About the Role : We are looking for an experienced Data Engineer with strong hands-on expertise in Python, SQL, Spark/PySpark, and geospatial data processing to build and maintain scalable, production-grade data pipelines. The ideal candidate should have experience working with geospatial/spatial data such as latitude/longitude coordinates, GPS/location data, maps, spatial datasets, or location-based datasets. Experience in geospatial data processing is mandatory for this https://jobeax.com/link/br6NxturomjQ6azC : - Design, build, and maintain scalable ETL/ELT data pipelines using Python, SQL, and Spark/PySpark.- Process and transform large-scale geospatial and non-geospatial datasets from multiple sources.- Work extensively with latitude/longitude, GPS, coordinates, maps, location data, and spatial datasets.- Perform geospatial data processing and analysis, including : Spatial joins, Proximity analysis, Distance calculations, Location-based aggregations, and coordinate and location transformations.- Integrate geospatial data with structured and unstructured data sources.- Build and optimise data pipelines for performance, reliability, scalability, and maintainability.- Develop cloud-based data solutions using AWS, Azure, or GCP.- Work with data lakes, data warehouses, distributed processing frameworks, and modern data architectures.- Implement workflow orchestration using tools such as Apache Airflow, AWS Step Functions, Azure Data Factory, Google Cloud Composer, or equivalent.- Implement data quality checks, testing, monitoring, and pipeline observability.- Troubleshoot pipeline failures, data inconsistencies, and performance issues.- Collaborate with Data Scientists, Data Analysts, and Engineering teams to prepare high-quality datasets for analytics and downstream applications.- Follow best practices around data security, governance, deployment, and production operations.- Participate in Agile development practices, code reviews, and technical https://jobeax.com/link/EOWksOR081YOVVra : - 5 - 10 years of experience in Data Engineering or a closely related role.- Strong hands-on experience with Python and SQL for data processing and pipeline development.- Experience working with geospatial/location datasets, coordinates, latitude/longitude, GPS, maps, satellite imagery, spatial datasets, etc.- Hands-on experience with Apache Spark/PySpark for processing large-scale datasets.- Hands-on experience working with geospatial/spatial data is mandatory.- Experience building and maintaining production-grade ETL/ELT data pipelines.- Experience with at least one major cloud platform - AWS, Azure, or GCP.- Good understanding of data lakes, data warehouses, distributed data processing, and modern data architectures.- Experience with at least one workflow orchestration tool such as Airflow, AWS Step Functions, Azure Data Factory, Google Cloud Composer, or equivalent.- Understanding of data quality, testing, monitoring, security, and governance practices.- Strong problem-solving and communication skills, with the ability to work effectively in an Agile engineering environment.- In terms of geospatial data, experience should be in latitude/longitude and maps. (ref:hirist.tech)