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Designs and optimizes data pipelines and data platforms for next-generation telecom networks, collaborating with OSS architects and international stakeholders using ETL/ELT, GCP (Dataflow, BigQuery), Databricks, Kafka, and REST/GraphQL APIs.
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).
Meet the Team The Splunk Agent Resilience team is defining the future of AI resilience. Our team provides scalable, cost-effective evaluation and guardrails that ensure AI agents behave as intended, improving…
Semi-senior Data Engineer in Taligent's Center of Excellence designing, building, and maintaining ETL/ELT pipelines on cloud (AWS/Azure/GCP) with Python and SQL, integrating heterogeneous sources and modeling data for analytics and AI use cases.
En LG Electronics México, estamos buscando un perfil con formación matemática, pensamiento analítico y fuerte orientación a la ejecución, capaz de conectar Data Analytics, Marketing Digital y operación de campañas…
The Data Engineer will build end-to-end data solutions focusing on Operational Resilience, utilizing Python, SQL, and Google Cloud Platform. The role involves data modeling, graph analysis, and implementing data governance standards within an Agile environment.
Senior Cloud Data Engineer hands-on with GCP infrastructure and data engineering, designing and building scalable cloud data solutions using BigQuery, Dataform, dbt, and Terraform.
Lead the hands-on design and delivery of a GCP data platform and analytics capabilities, building secure, scalable cloud and data solutions. You will modernize legacy workloads using BigQuery, Terraform, Dataform, and dbt.
Hands-on Senior Cloud Data Engineer designing and building GCP infrastructure and data solutions using Terraform, BigQuery, and dbt/Dataform for a New Zealand grocery retail cooperative.
Design, build, and maintain scalable ETL/ELT pipelines and data models on Google Cloud Platform using Python, SQL, BigQuery, and Airflow, while ensuring data governance and collaborating with stakeholders.
Build and maintain FinOps data pipelines, analytics, and dashboards for enterprise cloud and technology spend management at TD Bank, using SQL, ETL/ELT tools, data platforms like Databricks/Snowflake, and BI tools like Power BI/Tableau.
Data Engineer designing and building scalable cloud-based data pipelines, ETL processes, and data infrastructure using SQL, PySpark, and Databricks within JLL's Enterprise Data team.
Staff DevOps Engineer owning core infrastructure (Kubernetes, CI/CD, IaC, observability) that powers AI/ML systems for heavy industries, working across cloud and on-prem/edge environments.
Staff DevOps Engineer owning core infrastructure (compute, networking, storage, CI/CD) for AI systems deployed in heavy industries, using Kubernetes, Terraform/Pulumi, and cloud platforms (AWS/GCP/Azure) with a focus on ML workloads and observability.
Production Support / SRE for a cloud-native Data Analytics and Reporting Platform on Google Cloud, providing incident management, automation, and observability during Asia trading hours for financial markets data.
Data Engineer building and evolving Credem's cloud data infrastructure, migrating legacy systems to a modern Google BigQuery data lake. Day-to-day involves end-to-end data architecture, Python and SQL pipeline development, and collaborating with Salesforce and marketing teams.
Junior Data Engineer designing and developing batch and near-real-time data solutions for banking data products, using on-premise and cloud technologies with a focus on data quality and governance.
Senior GCP Data Engineer leading data architecture, pipelines, and SAS model migration on Google Cloud Platform using BigQuery and Airflow in a hybrid role at a global consulting firm.
Data Platform Engineer designing and maintaining ETL/ELT pipelines with Python and GCP tools, developing backend services and APIs, and managing SQL/NoSQL storage and cloud data lakes with CI/CD practices. Hybrid role in Naucalpan, Mexico.
Hevo () is a simple, intuitive, and powerful No-code Data Pipeline platform that enables companies to consolidate data from multiple software for faster analytics. Hevo powers data analytics for 2000+ data-driven…
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