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AWS Data Engineer building data platforms—handling data acquisition, transformation, cleansing, and loading into data lakes for analytics and ML—using AWS services, IaC, CI/CD, and container orchestration.
Design, build, and operate large-scale batch and real-time data pipelines on Google Cloud Platform, working with BigQuery, Dataflow, and other GCP managed services to turn raw data into business insights.
Azure Data Engineer bridging Data Science and Data Engineering, building data acquisition, transformation, and loading pipelines into data lakes for analytics and ML using Azure Data Factory, Synapse, Databricks, and Spark.
Data Engineer building scalable data pipelines, ETL/ELT processes, and integrating heterogeneous data sources in an enterprise environment using Python/Scala, SQL, Spark, and cloud platforms (AWS/Azure/GCP).
Big Data Engineer designing and developing Spark/Scala data pipelines in a regulated environment, collaborating with Business Analysts and Data Modellers on large-scale batch processes.
Lead backend engineer driving distributed microservices and full-stack systems on AWS, mentoring engineers and collaborating with PMs to deliver cloud-based solutions using Java, Python, SQL, Node, Go, and Scala.
The Design Verification Infrastructure Engineer will develop and maintain verification platform technologies, including libraries and tools, using Chisel, CIRCT, Scala, and Python. This role focuses on scaling verification infrastructure to support SiFive's RISC-V processor development.
Senior Lead Software Engineer on J.P. Morgan's F&O Execution Data Team in London, building and maintaining scalable data pipelines and real-time streaming solutions using Java, Apache Kafka, Python, and AWS services.
Design, build, and maintain cloud-based data pipelines for regulatory reporting (FATCA, CRS, PTR) using Python, PySpark, SQL, and AWS services like Glue and S3.
Designs, builds and maintains data pipelines for regulatory reporting (FATCA, CRS, PTR) using Python, PySpark, Scala, SQL, and AWS services like Glue, S3, RDS/Aurora.
Lead AI Software Engineer at RBC's Global Functions Technology team, designing and building cloud-based applications and AI agentic solutions for US Regulatory Reporting using Java, Python, Spark, LLM frameworks (LangChain, LlamaIndex, MCP), and big data platforms like Snowflake and Databricks.
Lead the data engineering team and define the end-to-end data platform (lakehouse with medallion pattern) at Xplore, a Canadian rural broadband provider. Unify siloed data from on-prem network/OSS/BSS systems, Salesforce, and other sources while implementing governance, lineage, and compliance controls using Spark, Python/Scala, and SQL.
Senior Data Engineer building scalable Snowflake-based data pipelines and warehouse solutions in the insurance sector, using AWS cloud services, Python, SQL, Java, and Scala on a 12-month hybrid contract in Toronto.
Senior Data Engineer leading data pipeline and ML data infrastructure design for Amazon's worldwide pricing algorithms, using AWS services, SQL, and Python/Java/Scala/NodeJS to process large-scale pricing data.
Senior Java Developer building next-generation risk computation platforms for TD Securities' Counterparty Credit Risk group, using Java/Spring Boot microservices, Kafka, big data streaming, and cloud infrastructure to support billions of daily risk calculations.
Senior Java Developer leading mission-critical platforms for a Risk and Information Management team, focused on Java ecosystem architecture, distributed systems/microservices, cloud/DevOps infrastructure, and mentoring engineering teams.
Lead end-to-end data engineering projects for a media business, designing scalable data lakes, customer data platforms, and AI-powered analytics solutions using SQL, Apache Spark, and Python or Scala.
Senior engineer building open-source AI/ML integrations and tooling for Aerospike's distributed database, with a DevOps/SRE focus on scalability and reliability using Go, Python, Java, Scala, C/C++, Kubernetes, and Docker.
Design, implement, and optimize scalable data solutions on Microsoft Azure and Fabric—including pipelines, data lakes, warehouses, ADX/KQL, and BI dashboards—for an aviation-sector product company.
¡Hola! Somos una empresa tecnológica con producto propio, especializada en el desarrollo de soluciones de software para entornos críticos del sector aeronáutico. Creamos tecnología robusta, escalable y alineada con las…
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