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Senior to Lead Data Engineer builds and optimizes IBM Cognos reports, dashboards, and data models for business intelligence, using SQL and Oracle databases.
Designs and maintains data pipelines and warehouses, transforming raw data into insights using Oracle, PySpark, and Azure SQL for AI-driven analytics.
Designs resilient, scalable data pipelines and products using Azure, SQL, Spark, and CI/CD to transform and deliver data for analytics and architecture.
Senior Data Engineer builds and maintains scalable Azure data pipelines and products using Data Factory, Synapse, Databricks, and Fabric to support analytics and reporting.
Builds and maintains Azure-based data pipelines and ETL workflows using Azure Data Factory, Synapse, Databricks, and Spark, while ensuring data quality and performance.
Build and maintain a multi-tenant SaaS platform for healthcare payers and providers using Java, Spring, and AWS; collaborate with product and SRE teams to deliver scalable microservices and APIs.
Lead software engineer designing, building, and maintaining scalable Java/Spring applications with distributed systems and cloud technologies.
Build and maintain full-stack Java applications for risk management and compliance systems using Spring, JPA, and cloud platforms like AWS.
Build and maintain risk-management compliance apps using Java, Spring, React, and cloud tools; collaborate with global teams on full-stack development and operational support.
Build and maintain full-stack Java applications, integrating systems with cloud services and modern UI frameworks while ensuring reliability and performance.
Builds and maintains mobile and web apps using languages like Swift, Kotlin, or Flutter, and troubleshoots bugs in scalable codebases.
Builds Java microservices with Spring Boot, REST APIs, and relational databases; writes clean, tested code and follows agile practices.
Builds and secures full-stack retail solutions using Java, REST/GraphQL APIs, and databases like PostgreSQL or MongoDB.
Lead backend development for a high-scale trading platform using Java 21, Go, and microservices, mentoring a small team to deliver resilient, low-latency financial services.
Lead a team to design and build Java-based web apps using Spring Boot, REST APIs, and cloud-native microservices, while collaborating with cross-functional partners.
Backend developer supports and enhances cloud-based systems using Python, Java, and Spring Boot, troubleshooting issues across Azure, GCP, BigQuery, and Databricks while maintaining MS SQL and DB2 databases.
Design, own, and maintain scalable, secure banking infrastructure using DevOps practices, CI/CD pipelines, and cloud resources to enable rapid feature deployment and system stability.
Develops and documents software solutions, assesses feasibility, and ensures data privacy compliance while collaborating with teams and end users.
Smartly.io is seeking a Software Engineer in Helsinki to join team Aqueduct. The role involves building and maintaining a large-scale data platform to power advertising. Candidates should have 3-5 years of experience,…
Architect enterprise-grade data and AI solutions for an insurer, designing cloud-native pipelines, Databricks lakehouses, and Agentic AI systems while aligning with insurance domains like IFRS17 and actuarial needs.
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