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Knowledge of Apache Kafka and experience with building real-time data pipelines. Mandatory skills: Golang, Kafka, Mongo DB, Kubernetes exposure and AWS ecosystem. We leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses.
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Enterprise-class experience implementing and configuring Big Data solutions using Kafka with the Cloudera Data Platform. Experience working on tools such as Kafka Connect, Schema Registry, Flink, Cruise Control, Spark, Snowflake, Streams Replication Manager or Mirror Maker 2.0, NiFi.
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Using Python Script for extracting JSON Data (Input) and automating this process of JSON Data to KAFKA QUEUE, application then reads KAFKA Queue (No Databases, this is all Kafka Queue.
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Search Technologies: Lucene and Elasticsearch Relational Databases: Cloud Spanner, Cloud SQL DESIRED SKILLS: Strong knowledge on Google cloud storage Data lifecycle management Strong knowledge on BIGQuery Slots management Cost optimization for Dataproc workload management Experience of designing, building, and deploying production-level data pipelines using tools from Hadoop stack (HDFS, Hive, Spark, HBase, Kafka, NiFi, Oozie, Splunk etc.
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Play a key role in NCR Voyix as the Sr. Manager, Data Engineering, leading multiple scrum teams that are creating NCR Voyix’s next generation of data products, services and capabilities serving Convenience and Fuel Retail.
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It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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Experience with Kubernetes, Nomad, Docker, and microservices architectures as well as experience with streaming services to ingest billions of events using NATS, Kafka, etc. Work with Data scientists to implement machine learning models for anomaly detection, forecasting, and root cause analysis on logs, metrics, and events.
$192,000 - $368,000 a yearFull-timeExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
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2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) At least 6 years of experience in software engineering (Internship experience does not apply.
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Proficiency in utilizing data processing frameworks/tools like Apache Spark, Apache Kafka, or FHIR servers such as HAPI FHIR. Demonstrated expertise in data engineering, particularly within healthcare data management.
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Responsibilities:- Develop efficient, highly scalable and secured services to build/integrate Warehouse Management System(inbound,outbound,inventory,sorting etc) for global TikTok Shop E-commerce;- Optimize backend systems and services for data security, modularity, computational efficiency and scalability;- Deliver best-in-class engineering excellence practices across all product engineering disciplines.
$137,750 - $237,500 a yearFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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Proficiency in data engineering tools and technologies such as SQL, Python, Spark, Hadoop, Airflow, Apache Kafka and Presto. 5+ of proven experience in data engineering, data warehousing, and ETL processes.
$65,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
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Proficiency with cloud based large data such as Google Bigquery, Amazon Redshift, and other big data technologies like Hadoop, Spark, and Kafka. Bachelors degree in Computer Engineering, Computer Science, Data Science, Information Technology, or a related field (Master or Ph. D. preferred.
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Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Strong understanding of Agile methodology and leveraging SDLC tools (JIRA, Jenkins, GIT, JUnit, Selenium, Lint), noSQL, Kafka, MQ.
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Good to have knowledge of data-engineering systems such as data lake, file-formats, batch & stream processing (Kafka). ROCI [Routing of Crital/Cable Infrastructure] is an enterprise graph data platform that acts as a logical and physical topology graph for the entire access network from the headend (CMTS) to customer (CPE/Cable Modems.
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A Senior Data Engineer should be deeply familiar with the tools of modern data engineering (e.g. Spark, Kafka, Storm) and of their customers, and engaged with the open source community surrounding them – potentially, even to the level of contributing pull requests.
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