SatSure - Data Engineer II - Data Pipeline

2 weeks ago

Bengaluru, India SatSure Full time

Job Description :


As a Data Engineer specializing in geospatial data, your primary responsibility is to design, build, and maintain data infrastructure and systems that handle geospatial information effectively.

You will work closely with cross-functional teams, including data scientists, geospatial analysts, and software engineers, to ensure that geospatial data is collected, processed, stored, and analyzed efficiently and accurately.

Key Responsibilities :

- Data Pipeline Development: Design and implement robust data pipelines to acquire, ingest, clean, transform, and process geospatial data from various sources such as satellites, aerial, drones, and geolocation services.

- Data Ingestion, Storage and Extraction: Develop data models and schemas tailored to geospatial data structures, ensuring optimal performance and scalability for storage and retrieval operations.

- Spatial Database Management: Manage geospatial databases, including both traditional relational databases (e.g., PostgreSQL with PostGIS extension) and NoSQL databases (e. g. , MongoDB, Cassandra) to store and query spatial data efficiently.

- Geospatial Analysis Tools Integration: Integrate geospatial analysis tools and libraries (e.g., GDAL, GeoPandas, Fiona) into data processing pipelines and analytics workflows to perform spatial data analysis, visualization, and geoprocessing tasks.


- Geospatial Data Visualization: Collaborate with data visualization specialists to create interactive maps, dashboards, and visualizations that effectively communicate geospatial insights and patterns to stakeholders.

- Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems, leveraging techniques such as indexing, partitioning, and parallelization to optimize geospatial data workflows.

- Data Quality Assurance: Implement data quality checks and validation procedures to ensure the accuracy, completeness, and consistency of geospatial data throughout the data lifecycle.

- Geospatial Data Governance: Establish data governance policies and standards specific to geospatial data, including metadata management, data privacy, and compliance with geospatial regulations and standards (e. g. , INSPIRE, OGC).

- Collaboration and Communication: Collaborate with cross-functional teams to understand geospatial data requirements and provide technical expertise and support.

- Communicate findings, insights, and technical solutions effectively to both technical and non-technical stakeholders.

Experience :

Must-have :

- Bachelor's or Master's degree in Computer Science or a related field.

- 3-5 yrs of experience working in the field and deploying the pipelines in production.

- Strong programming skills in languages such as Python, Java, or Scala, with experience in geospatial libraries and frameworks (e.g., GeoTools, Shapely).

- Experience with distributed computing frameworks (e.g., Apache Spark) and cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform).

- Familiarity with geospatial data formats and standards (e.g., GeoJSON, Shapefile, KML) and geospatial data visualization tools (e.g., Mapbox, Leaflet, Tableau).

- Strong analytical and problem-solving skills, with the ability to work with large and complex geospatial datasets.

Good-to-have :

- Proficiency in SQL and experience with geospatial extensions for relational databases (e. g., PostGIS).

- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

- Nice to have experience with geospatial libraries such as Rasterio, Xarray, Geopandas, and GDAL.

- Nice to have Knowledge of distributed computing frameworks such as Dask.

(ref:hirist.tech)

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