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Leads platform engineering at a public-safety SaaS company, centralizing DevOps, SRE, and observability practices to improve deployment safety and system reliability for first-responder software.
Key Responsibilities Design, develop, and maintain scalable data pipelines using PySpark on AWS. Build and orchestrate ETL/ELT workflows using AWS Glue and AWS Step Functions . Develop serverless applications and…
Designs and builds scalable, secure GCP data pipelines and warehouses, turning raw data into business insights using BigQuery, Dataflow, and modern ELT practices.
Designs and implements cloud-native big-data pipelines on Databricks and Azure, bridging data engineering and science to build scalable data lakes and ML-ready datasets.
Design and build scalable ETL/ELT pipelines and Databricks-based data products to generate regulatory-ready insights for product safety in agriculture.
Design and maintain ETL/ELT pipelines and backend services using Python, Go, SQL, Snowflake, Kafka, and RabbitMQ on AWS.
Build and maintain data pipelines, ERP integrations, and Power BI dashboards using C#/.NET, T-SQL, SSIS, and Azure services to support business decision-making.
¡Apiux está buscando un/a Senior Data & AI Engineer / MLOps Engineer – Productivización de Soluciones de IA para TELETRABAJAR!!! Somos una empresa tecnológica especializada en apoyar a organizaciones de todas las…
Build and maintain large-scale data pipelines on AWS using PySpark, Kafka, and Spark Streaming to process and transform high-volume datasets in real time.
Build and maintain AWS-based data pipelines, ETL/ELT processes, and Redshift models to transform raw data into business insights using Python, PySpark, SQL, and related tools.
Build and maintain scalable data pipelines, ETL/ELT processes, and AI-driven integrations using Python, SQL, Airflow, and Snowflake to support business analytics and automation.
NTT Data somos todas las personas que la formamos. Un equipo de más de 139.000 profesionales, tan diverso cómo diversos son los 50 países en los que estamos presentes y los diferentes sectores en los que desarrollamos…
Build and maintain Java backend services for a large retail platform, using Spring Boot, Kafka, Oracle, MongoDB, and Snowflake.
Build and maintain cloud infrastructure (Azure preferred) and CI/CD pipelines to support scalable data and analytics platforms, using Docker and Kubernetes while ensuring security and reliability.
Lead a team to build and maintain secure, scalable data pipelines and platforms using ETL/ELT, Snowflake, and cloud tools, ensuring quality, compliance, and cost control for a government-aligned organization.
Senior Data Platform Engineer builds and optimizes Microsoft Fabric-based data pipelines, warehouses, and DBA systems for a global metals/minerals inspection firm, mentoring peers and modernizing legacy data infrastructure.
Lead a team to build and manage a cybersecurity data platform using Python, Azure, Spark, and Kubernetes, enabling threat detection, analytics, and GenAI workflows.
Leads design and development of secure, scalable cloud-based data pipelines and platforms (Azure/AWS/GCP) for enterprise analytics, AI, and BI, ensuring compliance with security standards in a hybrid role (3 days onsite in Reading).
Senior Data Engineer builds and maintains secure, real-time data pipelines and platforms using Python, Azure Data Factory, Kafka, PostgreSQL, and Elasticsearch for government and regulated sectors.
Build and tune Snowflake-based data platforms, automate ETL/ELT pipelines with Airflow or Dagster, and manage cloud infrastructure using Terraform for a global financial-services firm.
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