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A FullStack Java and Angular developer who works on strategic projects, acting as the interface between business and IT, handling the full application lifecycle from analysis to deployment on Kubernetes and maintenance, with responsibilities including performance tuning and optimization.
Designs and maintains scalable data pipelines, warehouses, and lakehouse architectures to support analytics and business transformation, using SQL, cloud platforms, and distributed processing tools like Spark.
Leads AI/ML team to develop production-grade solutions, mentors data scientists, and collaborates on client projects; core focus on cloud-based ML pipelines, model optimization, and cross-functional problem-solving.
As a Data Engineer at Meta, you design and build scalable data solutions (including ETL, data models, visualizations) to support product development and analytics, collaborating with cross-functional teams using SQL, ETL frameworks, and programming languages like Python.
Full Stack/Data Engineer building high-throughput cloud data ingestion pipelines and API layers, designing scalable real-time systems for telemetry data. Core technologies include cloud platforms (AWS, Azure, GCP), real-time streaming, API development (REST/gRPC), and languages like Python/Java/Scala.
Senior Software Engineer designing and developing scalable solutions using Scala/Java, collaborating with teams, mentoring junior developers, and applying event sourcing, CQRS, TDD, and clean code principles in an Agile environment.
Senior Scala Full-Stack Developer at Epam in Málaga, Spain, building a trading oversight platform for a large hedge fund. Designs and builds full-stack applications (React frontend, Scala/Java backend) with cloud infrastructure (Kubernetes, Terraform) and AI tools, collaborating with traders and engineers.
Build and optimize data pipelines for government analytics using SQL, Python/Scala, and cloud tools like Snowflake and Databricks.
Senior Fullstack AI Engineer builds and deploys scalable AI solutions, trains ML models, and integrates them into full-stack applications using Python, Java/Scala, and cloud platforms.
Maintains and modernizes legacy payroll/HR software using UniData/MultiValue BASIC, debugging enterprise apps across SaaS, mobile, and on-prem environments.
Builds and maintains big data pipelines, processes large-scale data using Hadoop/Spark, and develops/optimizes ETL workflows with Python/SQL. Supports existing systems and implements new requirements in a remote Agile environment.
Build predictive models and analytics systems using Python, R, and SQL; lead a team of data scientists and collaborate with engineering/product teams.
Builds and maintains scalable data pipelines and big data infrastructure using Python, Spark, Databricks, and Azure tools to process and analyze large datasets.
Builds and optimizes data pipelines using PySpark, SQL, and the Hadoop ecosystem to process large datasets and support business analytics.
Senior backend engineer building scalable, real-time systems in Java/Scala that fuse edge hardware with ML to understand real-world behavior for parking, retail and hospitality.
Over Amplifon Amplifon is de wereldleider in de hoorzorg retail industrie. Sinds 1950 hebben we de levens van miljoenen klanten over de hele wereld veranderd. We zijn een wereldwijd bedrijf dat continu groeit. Amplifon…
The Lead Software Engineer will architect and build large-scale, cloud-native marketing platforms using Java, Spring Boot, AWS, and data processing technologies. The role involves leading engineering teams, driving cloud modernization, and integrating GenAI to enhance platform performance and development efficiency.
Architect and build large-scale data platforms that power streaming services and AI-driven personalization, enabling billions of events to become audience insights and intelligent products.
Design, develop, and maintain scalable data pipelines and workflows on Azure Databricks using PySpark, Azure Data Factory, and Apache Spark for advanced analytics and data engineering.
Senior Product Manager for Amazon's Global Transportation Technology Services, responsible for designing and managing the software platform that optimizes Amazon's global transportation network. Works with AWS services, big data processing, optimization algorithms, machine learning, and GenAI to ensure efficient package delivery and network resilience.
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