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Experience with various database technologies and query languages (we use Neo4j, Kafka,MySQL, Snowflake, Elasticsearch, and more). Voluntary benefits like company-paid identity theft protection and resources for pets, mental health and meditation resources, industry-leading fertility coverage, fully paid leave for childbirth or bonding, fully paid leave for caregivers, programs for loved ones with developmental disabilities and neurodiversity, subsidized back-up child and elder care, and reimbursement for adoption, surrogacy, tuition and student loans.
$160,000 - $180,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell. Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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Experience with Databricks/Apache Spark structured streaming, and/or Kafka experience. Develop ETL workflows/data pipelines to ingest data using AWS Data Migration Service (DMS), Scala, Kafka, Restful APIs, and other technologies as determined by the client from multiple transactional systems to the target (including ODS, data marts, and data lake) according to documented logic and source-to-target mappings.
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Development Platform/Languages: ASP.net MVC, ASP.net Webform, C#, MS SQL, web services, SOAP/Restful, Azure, CI/CD tools, EpiServer (web CMS), MS Identity Server, JWPlayer, Kafka, Java, JavaScripts, Typescript, React, Bootstrap, Xamarin, Swift, Objective C, Solr, HTML, CSS.
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Lead the design and development of high-performance web applications utilizing cutting-edge technologies (our team uses FastAPI, Kafka, SQS, ECS, and PostgreSQL with a React frontend) Some of Fabric’s customers include Luminis Health, OSF HealthCare, MUSC Health, and Intermountain.
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Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred) Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DataSync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
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Familiarity with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks) and stream processing frameworks (Kafka, Kinesis). Familiarity with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks) and stream processing frameworks (Kafka, Kinesis.
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Broad cloud-native tool experience (examples might include Cloudify, Terraform, Podman, Helm, Ceph, S3/EBS, Hadoop, Tekton, Min.io, Kafka, Nifi, etc.) Web design experience using DevOps principles with tools such as Node, Django, Ajax, CSS, Angular, Play, JavaScript, PERL, jQuery, HTML/XML, PHP.
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Experience in building & utilizing tools and frameworks within the Big Data ecosystem including Kafka, Spark, and NoSQL. Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio/Python/Spark/Snowflake/No SQL.
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The team also leverages SQL Server, MySQL, Kafka/Confluent, SAP Business Objects, Tableau, Geneva, Orchestrade, and various third-party APIs and data sources. Experience programming in a Python web framework (Django) and tools/frameworks (Kafka, Redis, Elastic Search, Docker) a plus.
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We use Airflow and Spark for ETL, as well as do some stream processing (Kafka Streams and Spark at the moment). We use Kafka for asynchronous-, and gRPC for synchronous service-to-service communication.
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Strong knowledge of big data technologies and frameworks, such as Hadoop, Spark, or Apache Kafka. At least 5 years of experience in working as Data Architect for Enterprise DWH and BI project for both on prem and cloud with minimum of 3+ years of hands-on experience in working on Snowflake/Databricks for DWH Development as Architect.
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Strong Knowledge of Kafka, Hazelcast and snowflake services. Jefferies is seeking for an Equity Application Support Engineer to play an instrumental role in supporting Front office trading application, risk and middle office real time products, developed and used for Equity Trading applications.
$150,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expert level with Databricks, Snowflake, Starburst, Trino, Immuta, Databases, and Streaming processing technologies like Kafka, Flink, Kinesis. Expert level with Databricks, Snowflake, Starburst, Trino, Immuta, Databases, and Streaming processing technologies like Kafka, Flink, Kinesis.
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kafka job in Jersey City, NJ
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