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We're looking for top-notch search engineering talents in the area of information retrieval, search indexing, Elasticsearch, Lucene, algorithms, relevance & ranking, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search and multi-modal search.
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Architecting and developing new applications and features that provide data and data services to different teams within the enterprise, including engineering, data science, analysts, product, management/executives, and other business teams.
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Optimize and tune our data pipelines for performance, scalability, and reliability, leveraging technologies such as Apache Spark, Kafka, and Hadoop to handle big data workloads. Stay current with the latest trends, tools, and technologies in data engineering and contribute to guide the evolution of our data technology stack.
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Production experience in data cloud computing technologies such as – Azure Synapse, Azure Data Factory, Azure Data Explorer, Power BI, PowerApps, K8s, SQL, Trino, Kafka and Hadoop ecosystem, in particular, Hadoop Distributed File System (HDFS), Apache Python (Py) Spark.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Asynchronous data processing and stream processing (Kafka, Amazon Kinesis) Distributed data stores (DynamoDB, Cassandra, MongoDB) and distributed data warehouses (Redshift, BigQuery.
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Work at the intersection of infrastructure and software engineering, and design and deploy cloud infrastructure build on top of open-source components, including Hadoop, Hive, Spark, HBase, Kafka streaming and other Open Source Big Data technologies.
$146,266 - $194,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Strong expertise in the big data ecosystem, including tools like Kafka, Spark, Apache Iceberg, Airflow, S3, data modeling, data warehouses, OLAP databases, etc. Proven experience in data processing, orchestration, data engineering, and AI/ML domains.
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Experience with queuing/data-pipelining solutions (Storm, Redis, RabbitMQ, Amazon Kinesis, ZeroMQ, Kafka, etc. Job Functions: Engineering, Software Infrastructure Engineer. Experience in , Software Infrastructure Engineering, DevOps, site reliability, release management and/or systems engineering.
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Experience working with Hadoop, Spark, Kafka, Storm, Flink, Presto, or other data streaming and processing systems. You will report to the Senior Engineering Director. such as supply and demand management, Ads network connection and marketplace, creative lifecycle, inventory management, bidding and optimization solutions, data exchange, tracking, measurement and reporting capabilities.
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3-5 years of experience in a few areas: cloud computing, software engineering, distributed computing, machine learning, natural language processing, computer vision, image processing, database systems, security, data platforms.
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Holding over 5 years' commercial experience in software engineering, you will need to show a strong proficiency in building distributed backend systems with high concurrent and data handling using with Golang or Python as your core language.
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8+ years of experience with different real-time data streaming/serving technologies such as Flink, Beam, Spark, Kafka, Druid. You will report into the Engineering Manager of our Core Data Services team.
$283,780 - $331,640ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop data pipelines and workflows using modern data processing technologies such as Apache Spark, Apache Kafka, and Databricks, to support the processing of large volumes of sensor data from autonomous driving vehicles.
$193,000 - $243,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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BS or a graduate degree in Computer Science, Maths, Engineering, or science. 3+ years of industry software engineering experience. Distributed data stores (DynamoDB) and caching technologies (Redis, Memcached.
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Golang, Python, gRPC, Kafka, Tensorflow, SQL, NoSQL, AWS, AI, Docker, Kubernetes, Terraform, GitHub Actions, CQRS, DDD, Agile Scrum. Working in tandem with the Founding Engineer and CTO, you will have full ownership across the engineering lifecycle and be able to shape the future technical direction.
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data engineering kafka jobs in San Mateo, CA
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