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Familiarity with load balancers (ex – A10, F5), firewalls (ex – CheckPoint), Venafi, MDM (ex - Mobile Iron), Cloud (ex - AWS, Azure), Malware Protection (ex -FireEye), Advanced Persistent Threats (ex - Damballa), Privileged Accounts (ex – CyberArk), SIEM (ex – ArcSight), Log & Event (ex – Splunk), Intrusion IDS/IPS (ex – Symantec) , Cloud Platform (ex – PCF, Docker), Scanning (ex – Qualys), AppSec (ex - Veracode.
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Please see us exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) - 2023/2022 and at Gartner Data Analytics Summit (Florida) - 2023. We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates.
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) As a senior data engineer, you bring your previous industry experience in infrastructure scaling to Jerry and lead the development of a new infrastructure solution that will continue to perform with great stability and efficiency even when the company grows 10x bigger.
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Integrate Hansen CPQ with CRM, ERP, and other enterprise systems to ensure data consistency and process efficiency. Hansen CPQ, Java, REST APIs, cloud architecture, integration framework.
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Proficient in SQL and experienced with relational databases (e.g., SQL Server, Oracle, MySQL), big data cloud platforms (e.g., Snowflake, Azure Data Warehouse). Familiarity with data integration and ETL tools (e.g., AWS DMS, SSIS, MuleSoft, Talend.
$140,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The ideal candidate has a strong software engineering background and problem-solving ability along with cloud computing (AWS) and data engineering skill set with prior experience on technologies such as Snowflake, Airflow, dbt, Kafka, Spark, Dask, Python, and Tableau.
$128,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience working with cloud-oriented data warehouse, data platform, and data lake technologies (e.g. Snowflake, Redshift), including data pipeline development and data engineering.
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Experience as a Lead and mentor of a team of data engineers to design, develop and maintain robust data movement pipelines using a variety of technologies including (but not limited to) che Airbyte, Airflow, Kafka, Flink, CDC technologies like Debezium, Oracle Golden Gate as well as relevant Big Data technologies like Hudi, Presto, Trino, and Azure Data Lake Services.
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On the PADI team, you will be responsible for identifying opportunities to improve player and creator experiences from telemetry using big data tools, and partner independently and seamlessly, aligning and influencing to create action on insights.
$117,200 - $250,200 a yearFull-timeExpandUpdated 4 days ago - UpvoteDownvoteShare Job
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As a data architect, you will focus on the big picture of an organization’s data strategy. We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
$245,000 - $275,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Your scope will reach from text classification problems over big data analytics to A/B testing and experiment design. One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning.
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Our clients count on us to deliver excellence and seek our guidance on business and technology strategy, technology modernization, and cloud transformation initiatives. From providing our employees the time to pursue company -sponsored certifications, to supporting and partnering with multiple non-profit organizations brought forth by our employees (such as Food Lifeline, United Way, and the Seattle Humane Society), we are proud to support both our fellow Pivotalites and the causes close to their hearts.
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Work together with both upstream and downstream service owners, producers and other cloud, infrastructure and embedded DevOps engineers to ship solutions. Experience with public cloud infrastructure such as AWS, Google Cloud, Azure etc.
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Proficiency in two or more of the following pillars: Phishing, DLP, Compliance, Networking, Forensics, Big Data, Threat Intel, Operating Systems, Reverse Engineering. Experience with the following technologies: SIEMs, WAFs, IDS/IPS, EPP, EDR, FIM, DLP, Cloud Security, Container Security.
$112,100 - $197,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure. Set direction on the design, development, testing, deployment, and support of stateful microservices and lambdas in a multi-region cloud environment.
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cloud big data jobs Title: engineer Company: Diverse Lynx in Seattle, WA
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