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Experience with big data tools (Cloudera, Hadoop, Spark, Map Reduce, NiFi, Sqoop, YARN) Working knowledge of distributed event streaming data platforms (Tibco, Kafka.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
$110,500 - $138,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Lead a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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Boomi Flow and MDM experience is a plus. DevOps: Creating automated CI-CD processes using containerization solutions (Docker), CI tools (Drone, Jenkins, Spinnaker), Orchestration (Kubernetes, Helm) and Infrastructure automation (ArgoCD, Rancher, Ansible, Terraform, Chef)Required QualificationsBachelor’s Degree in Computer Science, Engineering, or a related scientific/technical field, or equivalent experience.
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IBM, BMC or Broadcom would be a big plus. 7 plus years of IBM Db2 systems programming experience in a mainframe z/OS operating system. Nice to have: Enhancing the resilience of DB2 is a plus.
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Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). Relevant Adobe certifications and enterprise architecture certifications (e.g., TOGAF) are a plus.
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Domain experience with financial datasets like FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT is a plus Demonstrated Experience in Python programming and familiarity with core data science libraries.
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Knowledge of big data technologies like Hadoop, Spark, or Kafka. DebtBlue is seeking a skilled and detail-oriented Data Analyst with strong experience in engineering, Power BI, and artificial intelligence (AI.
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Big data expertise in Apache Spark ETL, Snowflake. Experience with Big data (Demonstrates knowledge of Py-Spark, Data Bricks. Experience with data visualization tools such as Tableau, Qlikview, Quicksight, etc.
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Experience in one or more security domains (e.g. Data security, Network security, Application Security, Cloud Security) is a plus. Experience with Data Loss Prevention (DLP) solutions is a plus.
$55 - $75 an hourExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with EndPoint security software is a plus (Antivirus, DLP, IPS, NAC, EDR) Knowledge of VDI (VMWare Horizon, Citrix XenApp and XenDesktop) is a plus. Fundamental understanding of Kubernetes, GCP, and AWS for troubleshooting cloud agent deployment and data extraction.
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ERP experience, accounts payable, ChurnZero, Zendesk, Salesforce, Jira, analytic reporting, and CSM tool experience is a plus. Tipalti is the only company handling both global partner payments and accounts payable workflows for high-velocity companies across the entire financial operations cycle: onboarding and managing global suppliers, instituting procurement controls, streamlining invoice processing and approvals, executing payments around the world, and reconciling payables data across a multi-subsidiary finance organization.
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Remote Work From Home Data Entry Clerk for Entry Level Position. This is a great way to earn extra money in your spare time by working at home! You enjoy data entry work and can perform the work from your home or location of choosing (remote work from home job.
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From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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In order to construct a robust, accurate, 360-view data environment that is unique to each client Demonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, Python Employing techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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