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Technical Lead designing and building AWS-based contact center solutions on Amazon Connect—architecting IVR flows, Lambda backends, and CRM integrations while mentoring a scrum team.
Senior SRE owning uptime and operational quality for a distributed camera-based video monitoring and AI alerting platform spanning AWS Java microservices, GPU-backed computer-vision pipelines, Kafka streaming, and thousands of on-premise edge media boxes.
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…
Back-end engineer building high-performance, real-time messaging and AI agent systems at scale using Node.js, TypeScript, Golang, and AWS.
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.
Data Engineer at Indra Group designing, developing, and maintaining ETL/ELT pipelines for a European cyberdefense project, working with SQL, Python, orchestration tools like Airflow/NiFi/Prefect, and relational/NoSQL databases.
About Affinity Affinity is pioneering new frontiers in AdTech: developing solutions that push past today’s limits and open new opportunities. We are a global AdTech company helping publishers discover better ways to…
Senior Data Engineer on Grab's Lending Data Engineering team, designing and managing scalable batch, real-time, and event-driven ETL pipelines on AWS (Glue, Redshift, Athena, S3, EMR, Kinesis, MSK) using Flink, Airflow, Spark, Kafka, and Trino—onsite in Jakarta.
Data Engineer on a strategic data platform project, designing and industrializing ETL/ELT pipelines in a secure cloud environment using AWS and Snowflake, collaborating with Data, DevOps, Architecture, and Security teams.
Kiiro is seeking an experienced Data Engineer to build robust data foundations, pipelines, and cloud-based architectures for clients using technologies like Python, SQL, AWS, and Databricks. The role involves consulting, designing data solutions, and industrializing data science and GenAI products.
The Data Engineer will design, industrialize, and maintain data pipelines within a secure AWS and Snowflake cloud environment. The role involves collaborating with cross-functional teams to implement ETL/ELT processes, CDC flows, and CI/CD automation.
Data Engineer designing and deploying robust data pipelines using AWS and Snowflake in a secure cloud environment, working with Data, DevOps, and Security teams.
Data Architect specializing in Microsoft Fabric—designing architecture, governance, OneLake, and Real-Time Intelligence solutions while integrating with the Azure data stack and Power BI, and influencing senior stakeholders in a consulting environment.
Data Architect role in Central London designing and delivering data solutions using the Azure data stack, with focus on data modelling across relational and dimensional models and performance optimisation of SQL Server and PostgreSQL databases.
The Senior Data Engineer will design and build scalable cloud-native data pipelines on AWS for a BFSI client. The role requires extensive experience with AWS data services, ETL frameworks, and infrastructure-as-code tools in a hybrid work environment.
This Senior Data Engineer role involves designing and managing scalable cloud-native data platforms and pipelines using AWS services like S3, Glue, and Redshift. The position requires strong programming skills in Python, Scala, or Java and involves providing technical leadership to team members.
Design, develop, and optimize AWS data pipelines using services like Glue, S3, Redshift, Athena, EMR, and Kinesis, with SQL and PySpark, to deliver reliable datasets to analysts and scientists.
Builds and operates real-time telemetry pipelines for energy storage systems, ensuring reliable data for analytics and applications; designs novel data solutions and leads technical documentation.
Build AWS-based ETL pipelines, data warehouses, and data lakes using Java, Python, Scala, Spark, and SQL for a global consultancy.
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