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Must be proficient in SQL and understand different data modeling techniques using Big Data frameworks such as Presto/Snowflake/Databricks. The FreeWheel Data Processing and Data Warehouse team is responsible for creating and managing the frameworks for large scale ETL using modern frameworks such as DBT and Spark.
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IBM Certified Data Architect - Big Data. As a Data Modeler for GES Data Management (GDM) in the GES Technology Group, you will be instrumental in shaping the data landscape for this project.
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Perform data quality review of AML/KYC for completeness, including ensuring all appropriate information is contained in the proprietary system(s) to meet all regulatory, legal, bank and audit requirements.
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Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop). We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Big Data applications and Distributed Processing (Hadoop and Spark ecosystem components) Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
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With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it.
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By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employers data processor SonicJobs. Up to $10,000 reimbursement for expenses to build a family: adoption, surrogacy, doula service (if work is 30+hours per week.
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Big Data Technologies: Knowledge of big data technologies can be beneficial, especially for handling large-scale data processing. Data Warehousing Solutions: Familiarity with data warehousing architectures (such as Kimball and Inmon) and technologies like Amazon Redshift, Google BigQuery, and Snowflake.
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Experience with big data technologies such as Apache Beam, Apache Spark, Hadoop, Apache Flink and AWS Glue. The ideal candidate will be responsible for designing, developing, and maintaining data processing pipelines using Apache Beam. This role requires deep expertise in data engineering, strong problem-solving skills, and a solid understanding of distributed data processing frameworks.
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We have openings for receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, accounts receivable clerk, file clerk, warehouse, electronic assemblers, assembly, production, pickers, packers, forklift, machine operators, and maintenance mechanics.
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LabCorp is seeking a dedicated and motivated individual to join their Specimen Processing and Accessioning team in McKees Rocks, PA. The Specimen Accessioner will be responsible for performing clinical specimen accessioning, sample sorting and data entry in a fast-paced, high-throughput environment according to established standard operating procedures.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Roles include data entry clerk, customer service agent, nurse or medical assistant - just choose what suits your skills best and start earning.
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In this role, you will work very closely with various Data Leaders and Stewards across the BNY Mellon to ensure compliance to Policy, while robust DQ monitoring is in place and appropriate attention to issue remediation applied.
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Product development and deployment, exposure to the C&IB and AMG big data ecosystem and the ability to generate data-driven insights for the organization. Interns will gain exposure to a wide range of advanced analytical techniques to manipulate, analyze, interpret, and visualize various types, structures and volumes of data across C&IB and AMG. Interns will gain exposure to commercial portfolio analytics, data engineering, machine learning, and data visualization.
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Required Qualification: Completion of a medical assistant training program and/or 1+ years medical assistant experience in an urgent care, physician, or emergency room setting, or enrolled in an accredited Radiologic Technologist program Preferred Qualifications: Direct experience with the following tasks: Clinical intake, patient data collectionLaboratory specimen collection (blood-draw/venipuncture, urine collection, point of care testing, etc.
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big data jobs Title: data applied in Pittsburgh, PA
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