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Experience with building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming. Implementing ETL processes, moving data between systems including S3, Snowflake, Kafka, and Spark.
$130,000 - $220,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage) A crucial role in CME's Cloud data transformation, the data SRE will be aligned to data product pods ensuring the firm's data infrastructure is reliable, scalable, and efficient as the GCP data footprint expands rapidly.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.
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We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more. Experience designing and building highly available, distributed systems of data extraction, ingestion, normalization and processing of large data sets in real time as well as batch, that will be used across engineering teams using orchestration frameworks like Airflow, KubeFlow or other pipeline tools.
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Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc. Tuition Reimbursement to support your continued educationStudent Loan Repayment AssistanceTechnology Stipend allowing you to use the device of your choice to connect to our network while working remotelyGenerous PTO and Parental leaveCompetitive health benefits including medical, dental and vision What You’ll Do The Associate Principal, Streaming Application Development works with business analysts, team leads and other developers.
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Any level of experience with Utilize technical skills including Spark, Python, Java, Scala, SQL, RESTful APIs and Cloud Services including EMR, Keyspaces, Elasticache, Terraform, Data Lake formation, Redshift and data streaming technologies including Apache Kafka, Kinesis to develop and manage multiple assignments, including large and critical data pipeline projects to assure timely and cost-effective deliveries.
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Streaming technology knowledge (Maxwell’s Daemon, Kafka, Snowpipe). In this role you will play a pivotal role in implementing scalable and performant solutions that unify data across multiple teams and domains including large-scale event streaming, reporting, analytics and more.
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4+ years of experience in traditional and modern Big Data technologies (HDFS, Hadoop, Hive, Pig, Sqoop, Kafka, Apache Spark, hBase, Oozie, No SQL databases) These capabilities include batch and streaming analytics, machine learning models, natural language generation, and other emerging technologies in the field of advanced analytics.
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Exposure to Kafka Streaming applications is a plus. Validate multiple projects sourcing data from data sources including IBM DB2, Amazon S3, transform as per provided business rules or data mappings, and loading into target databases/services including DB2, Amazon S3, AWS EMR, Amazon Redshift, and Amazon RDS.
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Build streaming and batch data pipelines using Python, Kafka, Spark, Cloud (and more) which will provide insights to CCC's clients within auto property damage and repair, medical claims, and telematics IoT industries.
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Experience with DevOps process (exposure to GitHub, Jenkins, or other CI/CD tools) and knowledge and experience with Terraform and Ansible. Notes/MTC: Skills mainly wanted Python, EMR, JIRA. Exposure to AWS cloud-based services is a strong plus.
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O Message streaming solutions, such as AWS Kinesis, AWS SQS, AWS SNS, Apache Kafka, RabbitMQ, Apache ActiveMQ. o Datastores such as AWS Aurora, AWS RDS, AWS DynamoDB, MongoDB, ElasticSearch, Cassandra, Redis, MySQL, Oracle.
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2+ years' experience with Kafka, Streaming ,and Event-Driven Architecture. Center 1 (19052), United States of America, McLean, VirginiaSr. Director, Software Engineering - Card ModernizationThe Card Technology division at Capital One is on an exciting journey to transform the way we do business by building world class technology platforms that exceed expectations for our internal and external Customers.
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As part of a fully self-contained teams at CJ you will be developing full stack end to end solutions using languages and technologies like Java, Kotlin, Scala, JavaScript, TypeScript, React, Node, AWS, Serverless, SQL, NoSQL, Kafka, Infrastructure-as-code and more.
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kafka streaming jobs in Chicago, IL
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