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We are currently seeking a QA DATA Engineer - Remote to join our team in Frisco, Texas (US-TX), United States (US). Knowledge of big data technologies (e.g., Microsoft Fabric, Azure Synapse, Lakehouse, Databricks.
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RCDD, BICSI DCDC, CDCDP or PMP or related Data Center Facilities Design certifications are a plus. Key Qualifications 3 to 7 years of relevant data center facilities design and build project management experience.
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5+ years of experience in data science and machine learning development (2+ years with a master's degree). Minimum bachelor's degree in quantitative fields (mathematics, statistics, data science, physics, computer science, engineering, etc.
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Minimum 8 years of experience designing, building, and operationalizing large-scale enterprise data solutions and applications using GCP data and analytics services alongside 3rd party tools (Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/Composer, BigTable, Cloud BigQuery, Cloud Pub/Sub, Cloud Storage, Cloud Functions, & Github.
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Oversee the maintenance and continuous operation of all building systems including fire/life safety, mechanical (HVAC, plumbing, controls) electrical (lighting, UPS, PDU, generators, switchgear), cabling (data and voice, broad band), lighting and temperature controls systems, critical environments, light construction (painting, doors, locks), digital systems (fire alarm, duress, card access, radionics, CCTV), and Audio/Visual services.
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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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Support UAT testing by UAT environment setup, generating reports with SQL and Python, data setup for special cases and addressing user queries. Supporting UAT testing by UAT environment setup, generating reports with SQL and Python, data setup for special cases and addressing user queries.
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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.
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Spearhead data migration projects, optimizing tools, and enhancing performance to achieve 10x results. Strong skills in data sourcing, modeling, and enrichment. Familiarity with at least two of the following—Kafka, MongoDB, Sonar, Jenkins, Oracle DB, Sybase IQ, DB2, Drools, CMS tools like Adobe AEM, search tools like Algolia, Elasticsearch, or Solr, and Spark.
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Deep understanding of cloud computing principles , including virtualization, containerization, microservices, and serverless computing; Risk Management, RHCOS security, container security, Kubernetes security, IAM security, network security, auditing, encryption, secrets management and data protection, securing CI/CD.
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Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.
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Experience with Amdocs D1 and C1 API's as well as knowledge of tm forum data model. Ability to coordinate system, data security, quality, scalability and performance disciplines across solutions as applicable.
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Drive annual affirmative action activities and partner with HR COEs (Center of Excellence) and HRBPs to analyze and interpret data, research any concerns or potential barriers, and implement associated actions.
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Ensure the architecture of applications and systems (especially cloud-based data and integration architecture for portfolio management such as Charles River and SS&C GWP) is consistent with enterprise needs, and ascertain how application solutions are used to meet those enterprise needs.
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What You BringStrong data analysis expertise with the proven ability to independently answer complex questions involving combining large data sets using a variety of SQL tools and database technologies (examples: Databricks, RedShift, Athena, BigQuery.
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data job Company: System One in Frisco, TX
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