Location: Remote from Spain (an indefinite Spanish employment contract)
Overview Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field.
Requirements Mandatory
6+ years of experience designing, developing, deploying, and maintaining backend services and distributed systems in production using Java 21, Spring Boot 3.X, Docker
Advanced SQL expertise, including writing, optimizing, and troubleshooting complex queries against large and complex datasets
Experience working with data-intensive applications and complex data models, including data analysis, transformation, aggregation, and optimization
Hands-on experience with Snowflake, including complex query development, performance optimization, data modeling, and analytics workloads (or any alternative tool)
Strong ownership and self-management in a fast-paced Agile environment, with the ability to independently deliver end-to-end solutions, resolve blockers, and communicate effectively in English
Hands-on experience with AWS (core services and cloud-native development)
Strong experience with microservices, MVC, and event-driven architectures
Strong experience with JPA / Hibernate
Strong database design skills with PostgreSQL (advanced SQL) and DynamoDB, including schema design, optimization, and performance tuning
Strong experience building and operating event-driven systems (e.G., Kafka, Kinesis)
Solid test automation experience using JUnit and Cucumber
Hands-on experience with GitHub Actions and/or similar CI/CD tools
Ability to provide a 6-hour overlap with US Central Time (CT) on business days, working until 2 PM CT at the latest, which is equivalent to working until 9 PM Spain time
Nice to Have Experience in processing and enriching event/telemetry data
Experience with AWS Kinesis and CloudFormation
Experience with jOOQ and Flyway
Experience with Snowflake, BigQuery, or Databricks (data warehousing/analytics)
Experience working with modern data warehousing platforms and analytical data environments
Experience supporting data-centric products where understanding and manipulating complex datasets is more critical than implementing new application features
Experience with Spring Cloud
Experience working with geospatial data (PostGIS)
Responsibilities Design, develop, and maintain scalable Spring Boot-based microservices in a distributed architecture
Build and operate event-driven data processing pipelines, including ingestion, transformation, and enrichment of streaming data
Work extensively with complex datasets, focusing on data analysis, transformation, validation, and optimization
Develop and maintain advanced SQL queries and data workflows to support business and platform requirements
Collaborate closely with data engineering, analytics, and business stakeholders to understand and solve complex data challenges
Contribute to data warehousing and analytics initiatives, including Snowflake-based solutions where applicable
Develop and maintain robust APIs for internal and external consumers
Work with AWS cloud services to design and support reliable, scalable backend systems
Design, optimize, and maintain PostgreSQL and DynamoDB schemas, ensuring performance and data integrity
Implement and maintain automated testing strategies (unit and integration)
Contribute to and maintain GitHub Actions pipelines
Ensure system reliability through monitoring, logging, and observability best practices
Collaborate effectively in a distributed team, communicating progress, risks, and dependencies
Take ownership of features end-to-end, from design through deployment and production support
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or continue with email
Overview Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field.
Requirements Mandatory
6+ years of experience designing, developing, deploying, and maintaining backend services and distributed systems in production using Java 21, Spring Boot 3.X, Docker
Advanced SQL expertise, including writing, optimizing, and troubleshooting complex queries against large and complex datasets
Experience working with data-intensive applications and complex data models, including data analysis, transformation, aggregation, and optimization
Hands-on experience with Snowflake, including complex query development, performance optimization, data modeling, and analytics workloads (or any alternative tool)
Strong ownership and self-management in a fast-paced Agile environment, with the ability to independently deliver end-to-end solutions, resolve blockers, and communicate effectively in English
Hands-on experience with AWS (core services and cloud-native development)
Strong experience with microservices, MVC, and event-driven architectures
Strong experience with JPA / Hibernate
Strong database design skills with PostgreSQL (advanced SQL) and DynamoDB, including schema design, optimization, and performance tuning
Strong experience building and operating event-driven systems (e.G., Kafka, Kinesis)
Solid test automation experience using JUnit and Cucumber
Hands-on experience with GitHub Actions and/or similar CI/CD tools
Ability to provide a 6-hour overlap with US Central Time (CT) on business days, working until 2 PM CT at the latest, which is equivalent to working until 9 PM Spain time
Nice to Have Experience in processing and enriching event/telemetry data
Experience with AWS Kinesis and CloudFormation
Experience with jOOQ and Flyway
Experience with Snowflake, BigQuery, or Databricks (data warehousing/analytics)
Experience working with modern data warehousing platforms and analytical data environments
Experience supporting data-centric products where understanding and manipulating complex datasets is more critical than implementing new application features
Experience with Spring Cloud
Experience working with geospatial data (PostGIS)
Responsibilities Design, develop, and maintain scalable Spring Boot-based microservices in a distributed architecture
Build and operate event-driven data processing pipelines, including ingestion, transformation, and enrichment of streaming data
Work extensively with complex datasets, focusing on data analysis, transformation, validation, and optimization
Develop and maintain advanced SQL queries and data workflows to support business and platform requirements
Collaborate closely with data engineering, analytics, and business stakeholders to understand and solve complex data challenges
Contribute to data warehousing and analytics initiatives, including Snowflake-based solutions where applicable
Develop and maintain robust APIs for internal and external consumers
Work with AWS cloud services to design and support reliable, scalable backend systems
Design, optimize, and maintain PostgreSQL and DynamoDB schemas, ensuring performance and data integrity
Implement and maintain automated testing strategies (unit and integration)
Contribute to and maintain GitHub Actions pipelines
Ensure system reliability through monitoring, logging, and observability best practices
Collaborate effectively in a distributed team, communicating progress, risks, and dependencies
Take ownership of features end-to-end, from design through deployment and production support
#J-18808-Ljbffr
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