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Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), AWS Solutions Architect, AWS Developer, or AWS Certified Big Data Specialty (Data Analytics Speciality.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data.
$267,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Implement and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake and Talend) with cloud/on premise hybrid hosting solutions, on a multi-team/product level. 5+ years in large scale big data engineering experience and designing best practices in Programming, SDLC practices, Distributed systems, Data warehousing solutions SQL and NoSQL, ETL tools, CICD, Cloud Technologies (AWS/AZURE),Python/Spark, Datamesh and Datalake, Data Fabric.
$184,920 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Proficiency in Databricks, Azure services (e.g., Azure Data Lake Storage, Azure Synapse Analytics), and Spark for big data processing and analytics. Stay up-to-date with emerging technologies and best practices in data engineering, cloud computing, and big data analytics.
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Senior-level software engineer or data engineer with experience developing and deploying big data analytics applications using Databricks on the AZURE platform. Senior Data Engineer(Sample Resume Attached.
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As a Capital One Software Engineer, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful services, to back-end Java based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.
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Our client, a premier investment bank, is looking for a Big Data Engineer to join their growing team in Chicago, IL. Currently our client spends a lot of time trying to answer client's questions by logging in to several disparate data sources.
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Must have led a team of developers with diverse skillset (Big Data , Reporting and Database architecture). Should be able to present their point of view on different big data architectural patterns.
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Knowledge of some of the main components of Azure Analytics: Azure Data Processing Technologies (DataFactory, Databricks), Azure Big Data Technologies, Databricks, Synapse. The Sr. Azure Data Engineer will lead the creation of high-value data driven solutions leveraging Cyclotron’s proven implementation methodology and solutions for enterprise projects, as well as contributing to technical pre-sales activities as required.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Strong Knowledge in Big Data Technologies, Databricks, AWS Services, PySpark, thorough in one or more programming language like Python. We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake.
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Three (3) or more years creating or recommending content creation in SIEM/Big Data Solutions, preferred. Cortex XDR, XSOAR, Splunk, Elasticsearch, MISP, FireEye AX,EX,NX,CMS, security orchestrator, Cisco NGIPS/Sourcefire, Palo Alto firewall, McAfee, Cylance, Tanium, Snort, Bro, Suricata, Jupyter notebooks, EnCase, Access, Data FTK, volatility, Wireshark, Nessus/Security Center, Nmap, Metasploit pro, Windows Event forwarding, SolarWinds, Logstash, syslog, ysmon, one way data diodes, IDA Pro.
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3+ years of experience in a Data Engineering or Software Engineering role, with a focus on building data pipelines, or applications powered by big data. Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable Growth, Sales, and Marketing teams at Stripe - working with Scala, Spark, and Airflow.
$244,700 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Strong knowledge of Enterprise Monitoring Tools such as Dynatrace, Datadog, AppDynamics, Big Panda, SCOM and LogicMonitor is critical. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients.
$85,000 a yearExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Have working knowledge of Apache Spark, big data processing and building products on distributed cluster-computing framework. Looking for a data engineer to design, develop and maintain pipelines and workflows and create analytics to digitally transform the current NA Accident and Health reporting and business decision processes.
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big data jobs Title: engineer in Chicago, IL
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