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Experience with multiple large scale Enterprise Hadoop or Big Data, Data Bricks, Cloudera, HD Insights, or other environments focused on operations, design, capacity planning, cluster set up, security, performance tuning and monitoring.
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The technology stack of this CSR data product build is Azure SQL Datawarehouse, Python, Databricks, and Azure Datalake at a high level. As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of this client's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics.
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Design and implement cloud-based solutions using Microsoft Fabric technology stack and Microsoft SQL Server, including Azure Synapse Data Engineering, Azure Data Factory, Synapse Data Science, Synapse Data Warehouse, Synapse Real-Time Analytics, Onelake, and Power BI, with a focus on data migration, movement, and transformation.
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As an ETL/ELT Pipeline Engineer, you will be responsible for designing and building efficient data integration pipelines using GCP native tools or open-source technologies such as Python and PySpark.
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At least 1 year of experience in big data technologies. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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This requirement is project dependent, but candidates should assume up to 50% travel Extras We Would Love to See Big 4 or Management Consulting Experience At least one of the following certifications or acceptable equivalent: CISA, CISSP, CISM, CBCP, CIA, CIPP, CIPM, or CFE Conversational knowledge of Identity and Access Governance requirements Strong project management skills ServiceNow SecOps.
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Minutes north of downtown Dallas, Plano residents enjoy a short drive to big-city attractions, nightlife, sports, museums, and entertainment. physical therapist, physical therapy, PT, physiotherapy, rehabilitation therapist, physician rehab therapist, rehabilitation, rehab, allied health, allied, outpatient physical therapist, outpatient PT, outpatient.
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Developing data journalism study content with mentorship and support from our data journalist. You’ll work closely with our Communications team to build awareness and reputation for the Jerry brand, primarily through media relations and data journalism.
Part-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Understanding and being highly proficient at querying a wide variety of healthcare data and related population data (medical/pharmacy claims, behavioral health claims, health care management (HCM) records, electronic medical records (EMR), provider databases (AMA, NPI, DEA, etc.
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Java/Python developer on Hadoop/Spark/Big Data platform with AWS experience preferably on EMR, EKS, Glue, Lake Formation. Java/Python Developer that's worked on a Hadoop/Spark/Big Data Platform that has AWS experience (Preferably on EMR, EKS, Glue, Lake formation.
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At least 2 years of experience in big data technologies. Lead a team of developers with deep experience in machine learning, data pipelines, microservices, and full stack systems.
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Demonstrate a commitment to continuous improvement, and lead efforts to harness the power of data to drive informed decision-making. Apply expertise in quantitative and qualitative analysis and the presentation of data to see beyond the data to help inform, influence, support, and execute business decisions for Sr. Leadership and HR Team. Have a futuristic and innovative lens to challenge the status quo and develop a world-class Labor Insights PlatformEmbrace technology to provide innovative, high-touch, scalable solutions that provide an exceptional candidate and employee experience.
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Our company is managed by a team of professionals who have worked for big 5 consulting firms for 20+ years. We are a minority-owned staff augmentation and technology consulting company.
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Work with others to support the following phases of eDiscovery process: identification, preservation, collection, data processing, and limited internal document review. The primary responsibility of this role is to support the Toyota Legal One department with the following phases of the eDiscovery process: identification, preservation, collection, data processing, and limited internal document review.
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2 or more years of hands-on experience with EnCase, Cellebrite, Nuix, Magnet Forensics, ZL, Relativity, and other eDiscovery technology solutions. The person in this role will provide hands-on technology support to fulfill complex legal and eDiscovery requests, assist in re-engineering eDiscovery workflows and processes to improve efficiency and uphold accuracy, and perform systems analyst responsibility to deliver technology projects and solutions in support of Toyota Legal One.
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big data jobs Title: technology lead in Plano, TX
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