Staff Engineer

4 weeks ago

Bengaluru, India shenzyn Full time

About the job :

-Looking for an experienced Sr. Software Engineer to design, develop, and maintain mission- critical at-scale cloud-based geospatial data pipelines and data management environments.

- Ideal candidates will have worked in a similar capacity as part of a high technology and/or data products company developing highly scalable data pipelines in the GIS, mapping, and/or geospatial data space.

- Leveraging your past experiences and cloud-based data processing skills, you will play a critical role in building next generation geospatially oriented data pipelines.

- These pipelines and the data they manage are enabling exponential growth of our high-precision geospatial data footprint.

- Your deep understanding of open-source data processing frameworks, event management, workflow, data quality methods, and cloud-based services design will be crucial to your success in this role.

Roles and Responsibilities :

- Design, develop, test and support geospatial data processing pipelines, ingest frameworks, and at scale distribution capabilities

- Design and implement data quality management frameworks and data quality metric tooling

- Collaborate with multiple teams in assessing internal and external data sources and data sets

- Actively participate in roadmap and feature planning activities to ensure objectives, features, and deliverables are clearly understood with well-defined success criteria

- Work with Architects and Tech leads to plan and estimate technical features and stories.

- Produce well-crafted code will with full unit test coverage, automated functional tests, and complete technical documentation

- Promote a software craftsmanship culture that emphasizes delivering high quality, enterprise scale, extremely reliable software solutions

- Mentor and guide early career and less experienced team members as opportunities arise

Skills and Experience :

- 7+ years of professional experience building cloud-based enterprise-scale real-time and batch based data pipelines and data distribution (serving) capabilities

- Deep experience leveraging modern open-source data processing/data pipeline technologies, frameworks, and cloud tools (S3, Lambda, Kinesis, Kafka, Airflow, Steps, etc.)

- Experience working with geospatial/geometric datasets and geospatial/vector data stores

- Previous experience building enterprise-caliber, event-driven distributed systems using cloud based architectural patterns and infrastructure

- Intimate familiarity with cloud-based open-source SQL and NoSQL databases including experience in performance tuning and query optimization

- Familiarity with domain-based data architecture, metadata management, and data quality frameworks - Test-driven development mindset with a focus on data quality, services scalability, and code efficiency

- Previous experience with Functional programming methods using modern development languages (Go, Scala, etc.) is preferred

- Bachelor's degree in computer science or engineering required

- Strong oral and written English skills are required

- Previous direct collaboration with US-based engineering resources is a plus

- Collaborative working style with a primary focus on the predictable delivery of quality outcomes.

- Experience working within governed Enterprise Agile planning and delivery organizations using Scrum practices preferred

(ref:hirist.tech)

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