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Develops and maintains large-scale Java applications and big-data pipelines for a global investment bank, using Spark, Flink, Kafka, and cloud platforms.
Designs and owns scalable data-intensive services for analytics and ML using Kinesis, Flink, ElasticSearch, and Snowflake, focusing on reliability, observability, and incident management.
Build and scale high-performance data infrastructure for streaming analytics, ML, and observability using Kinesis, Flink, Snowflake, and Kubernetes to secure AI-driven identity systems.
Build and scale Okta’s high-volume, low-latency data platform using Kinesis, Flink, ElasticSearch, and Snowflake to power analytics and ML services that secure AI and identity workflows.
Build and scale a petabyte-scale data platform for real-time telematics APIs, focusing on streaming ingestion, lakehouse storage, and distributed tracing with Java, Kafka, and Spark.
Design and own RAZR’s real-time/batch data pipelines using Debezium, Kafka, Flink, and Snowflake, then deliver analyst-ready datasets and dashboards.
Build and scale a petabyte-scale data platform for real-time telematics APIs, focusing on streaming ingestion, lakehouse storage, and analytics using Java, Kafka, Flink, and Iceberg.
Company: 1011 United Overseas Bank Ltd About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific,…
We are seeking a Databricks Data Engineer to design, develop, and optimize modern data platforms using Databricks and cloud technologies. The successful candidate will have strong expertise in building scalable data…
Job Description Design and implement high-performance, highly stable platform services Support data calculation needs for intelligent risk decision. Delivering high-quality and efficient data computing products…
Senior Data Engineer builds scalable pipelines, event streaming, and AI-powered tooling for Just Eat’s retail media platform, using BigQuery, dbt, Airflow, and GCP/AWS.
Senior ML engineer builds and deploys models that select audiences and predict conversions for a privacy-first mobile ad DSP handling 5M requests/sec.
Build and maintain large-scale Java banking applications using microservices, Kafka, and big data tools like Spark and Elasticsearch in a cloud environment.
Designs and builds scalable data pipelines and architectures using Python, SQL, and cloud platforms (AWS/Azure/GCP) to transform raw data into actionable insights.
About The Team Shopee's Data Infrastructure team builds the company's stable, efficient, secure, and easy-to-use big data infrastructure and platform, supporting data collection, storage, batch and real-time…
Maintains and scales TikTok’s video data pipelines and infrastructure to ensure reliability and performance for realtime and batch processing.
Job Description: Involve with software and product development and ad hoc projects. Create well-architected and structured solutions. Software analysis, software design, code implementation, software. integration,…
Staff Data Engineer (AWS, Java & Real-Time Data) Lead the design and delivery of a new cloud-based credit risk data domain. Shape data models, streaming solutions and engineering standards from the ground up. Build…
Leads the redesign of high-volume data ingestion pipelines for an automotive eCommerce platform, defining a 2-3 year architectural roadmap while ensuring reliability and scalability. Owns distributed systems, Spark/PySpark, Kafka, and cloud infrastructure (AWS/EKS) with mentorship responsibilities.
Overview Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for…
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