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Other nice to have tools are knowledge of Redis, Kafka, HashiCorp stack (Nomad, Consul, Vault, Terraform), ELK, Telegraf, Grafana. Besides that they are integrating other tools using API’s, Kafka messages (other flavor- Kinesis), knowledge on API driven systems is needed.
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Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Net, ASP.NET, WCF, IIS, SQL Server, HTML, XML, CSS, XSLT, BizTalk, Kafka etc. Chubb/ESIS is looking for a AVP Claims Technology to build, enhance and support Claims Systems. Monitor, report, analyze and propose solutions for production issues including performance issues of Duck Creek based Claims application Build cloud-based software integration solutions, by leveraging Microsoft Azure based cloud infrastructure and support the migration of on-premises applications to the cloud-based environments.
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Minimum of 5 years’ experience with automated delivery pipelines, agile delivery, and test-driven development and real-time data processing (e.g., Kafka, Spark Streaming). Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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Learn model-driven operations with Juju charms for Kafka, Hadoop, PostgreSQL, MongoDB, NGINX, and more. Demonstrate advanced Infrastructure as code (IaC) techniques relevant to telco (automation scripting, terraform, etc.
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Experience with big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc. The Enterprise Data & Analytics team functions include Data Engineering, Application Development, Data Governance, Business Intelligence, Analytics Services (Visualization, Process Improvement, and Business Analysis) and Advanced Analytics.
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Technical/Functional Skills Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins. Technical/Functional Skills Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins.
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Applying knowledge and relevant work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development tools (tools: IICS/AWS Glue/Matillion/Abinitio SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse.
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Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). Experience with marketing analytics tools (e.g., Google Analytics, Adobe Analytics, Salesforce Marketing Cloud) and driving key performance indicators.
$213,290.52 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Experienced with Databricks. Hands-on architecture of real time REST APIs or other solutions for streaming data from Graph using Spark. Hands-on architecture/development of ETL pipelines using our internal framework written in Java.
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Nice to have: Terraform, Kafka, Prometheus, Chaos testing, Database performance optimization. Our mission is to challenge the norms of the gaming industry by building an immersive interactive gaming experience that is responsible, innovative, and fun.
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Senior Data Engineer (Python, Kafka, Databricks, AWS) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) Senior Data Engineer (Python, Kafka, Databricks, AWS.
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Experience with big data streaming technologies such as Kafka. 1-2 years Cloud platforms (AWS, Azure, GCP, Snowflake) and Python programming or proficient SQL coding and performance tuning skills.
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Familiarity with Cloud Services - Amazon S3, Google Cloud Storage, Amazon Redshift, Kafka. Familiarity with Cloud Services - Amazon S3, Google Cloud Storage, Amazon Redshift, Kafka. We are looking for hungry, innovative thinkers to help us challenge the status quo of the gaming industry.
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We use modern languages like Kotlin and Scala, Data technologies Kafka, Spark, MLflow, Kubeflow, VastStorage, StarRocks and agile development practices. Knowledge in NoSQL, Queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), and Play framework.
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kafka job in Philadelphia, PA
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