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Advanced proficiency in data processing technologies and streaming workflows, including Spark, Kafka, and Flink. We provide a blockchain intelligence platform to law enforcement, financial institutions, and crypto firms to assist in the detection and prevention of cryptocurrency fraud and financial crime.
$173,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design and implement robust event-driven streaming architectures utilizing Kafka, Azure Events Hubs, and Azure IoT Edge. 4+ years of expertise in Kafka, Azure IoT, and Databricks.
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Hands-on experience and expertise in Advanced SQL, Advanced Python programming, AWS Services ( such as S3, Redshift, Glue ETL, IAM, DMS, Appflow,VPC and others), SnowFlake, FiveTran, KAFKA, Airflow, Oracle Cloud and other open source tools.
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Build API and data streaming services using technologies and languages including but not limited to: Java, Spring Boot, reactive microservices using Spring Web Flux/Spring Boot, MongoDB, Elasticsearch, Cassandra, Kafka, Apache Flink, or Spring Cloud Data Flow.
$111,600 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming. Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark.
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Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.
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Experience with building and managing data-intensive platforms using popular streaming technologies such as Kafka, Pinot, or FlinkExperience in data management technologies including ETL processing, data governance, and data storage.
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Experience with building stream processing systems, using solutions such as Storm or Spark-Streaming and messaging services such as Kafka, RabbitMQ, etc. You likely have experience with a variety of architectures, patterns, and methodologies focused on Analytics Strategy, Data Governance & Master Data Management, Data Architecture(s), Distributed Systems, ETL, Big Data, IoT, Data Visualization and Analytics.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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In-depth knowledge of Spark, Kafka, Streaming Systems, AWS, and Cloud Data Warehouse like Trino/Snowflake and Docker/Kubernetes. Hands-on - Responsible for developing streaming applications like spark structured streaming, and Kafka streams.
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AWS cloud services (EC2, EMR, RDS, Redshift), Data streaming systems (Storm, Spark-Streaming, etc.) Data Engineering with experience in tools such as: Big data tools (Hadoop, Spark, Kafka, etc.
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Expertise in designing, implementing and operating data engineering platforms and scalable web services, including schema management, transport (Kafka, SQS), warehousing and storage (AWS Redshift, AuroraDB, MySQL, Postgres), processing (streaming and batch ETL/ELT pipelines, Kinesis, Airflow, Spring batch), analytics (Spark, Hadoop, BigQuery, Databricks, Snowflake), and business intelligence reports (Tableau, QuickSight.
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2+ years of experience developing and supporting scalable data pipelines using technologies such as Kafka, Spark, and Airflow to support Batch and streaming data efficiently. These platforms are built on AWS Cloud with S3, Glue, Talend, Redshift, Snowflake, Tableau, Qlik, and Alation.
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Expertise in programming in at least one of the following languages: Java, Python, Scala, Golang, Rust. 12+ years of software development, including 5+ years of experience in IaaS/PaaS development at scale on public clouds (AWS, GCP, Azure.
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Expertise in streaming & real-time data processing (Kafka, Pulsar, Kinesis) using a technology like Flink, ksqlDB, or Databricks, etc. You’ll have the opportunity and empowerment to guide the data engineering team on best practices using modern distributed data tools like Snowflake, Flink, Kafka, and dbt.
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2+ years of experience in big data and event streaming technologies: Spark, Kafka, etc. 2+ years of experience in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar 4+ years of experience in Unix Shell scripting Certified in.
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