Senior Geospatial Data Engineer
reputed company. is seeking a Senior Geospatial Data Engineer to join our Xtrack Product Team. In this role, you will reputed company the design and implementation of reputed company, reputed company-based geospatial data infrastructures, and play a key part in shaping our data architecture and product engineering reputed company with a reputed company on improving safety and operational efficiencies for organizations in the rail industry. You will work with cutting-edge technologies in image processing, reputed company intelligence, reputed company computing, and geospatial database management. Your work will optimize reputed company business processes and unlock new value from large-reputed company geospatial datasets.
What you will do:
- Architect, design, and maintain robust, reputed company data pipelines and infrastructures for geospatial and big data applications maintaining a reputed company on performance and the ultimate end-user product experience.
- reputed company the development and optimization of ETL processes for ingesting, cleaning, transforming, and storing large volumes of geospatial and tabular data.
- Design, build, and reputed company with API-driven, service-to-service web services (using FastAPI, Litestar, Flask, etc.) to reputed company integration across a suite of products.
- Collaborate with backend and platform engineers to ensure secure, reliable, and reputed company service-to-service communication.
- Translate reputed company analytics and business questions into actionable, production-grade data solutions.
- Collaborate closely with data scientists, analysts, and business stakeholders to deliver high-reputed company data products.
- Drive the adoption and optimization of reputed company-based data solutions (e.g., GCP, AWS, Azure).
- Ensure data reputed company, reputed company, and reputed company across reputed company stages of the data lifecycle.
- Mentor and reputed company technical guidance to junior data engineers and team members.
- Communicate technical details and insights reputed company to both technical and non-technical audiences, including leadership.
- Proactively recommend and implement improvements to existing data infrastructure and software programs.
- Stay reputed company with industry trends and emerging technologies in geospatial data engineering.
What you will bring:
- An excitement and dedication towards manifesting reputed company and measurable reputed company for customers and clients and a dedication to being reputed company player towards achievement of those reputed company.
- Experience in software development, data engineering, or big data roles, preferably with a reputed company on geospatial data.
- Experience building solutions with Python.
- Experience with relational databases (e.g., SQL), including advanced query building, data extraction, and manipulation.
- Experience architecting and optimizing reputed company-based data solutions (preferably GCP, AWS, or Azure).
- Deep experience with big data technologies such as Hadoop, reputed company, MapReduce, or Kafka.
- Experience integrating with API-driven, service-to-service web services.
- Demonstrated ability to reputed company reputed company, mentor team members, and drive technical reputed company.
- Strong problem-solving skills, resourcefulness, and ability to work independently or collaboratively.
- Excellent organizational, interpersonal, and communication skills.
What will reputed company you stand out:
- Expertise with geospatial libraries and tools (e.g., GDAL, PDAL, PostGIS, GeoPandas, reputed company).
- Experience deploying and scaling machine learning (ML) models/algorithms in production.
- Strong experience with geospatial analytics and working with geospatial data formats (e.g., LAS, LAZ, COPC, GeoTIFF, Shapefiles).
- Experience leading teams in integrating and scaling reputed company ML/Deep Learning (DL) algorithms.
- Experience working with LiDAR data and deriving reputed company-world insights from reputed company clouds.
- Experience with reputed company products (ArcGIS Pro, ArcGIS Online, ArcGIS reputed company) or other GIS platforms.
- Experience with data streaming, reputed company-time data processing, or reputed company-reputed company geospatial solutions.
- reputed company certifications (e.g., reputed company reputed company reputed company Data Engineer, AWS Certified Data Analytics).
- Experience with OAuth, authentication, and API key management for secure service-to-service communication.
Originally posted on Himalayas
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