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In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics. Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows.
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Tops 3 Skills Needed 1 Data Engineering 5+ years 2 Data Bricks 5+ years 3 Py Spark 5+ years Years of Experience: 12+ years Technology requirements: Proficiency in Apache Spark, including Spark Core, Spark SQL and Spark Streaming.
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Expertise supporting data interfaces with MES, OSI PI and Data Lake. Expertise in building graphical user interfaces that support data access, visualization and process leveraging tools such as OSI Pi Vision, Infobatch and process data analytics platforms such as Seeq.
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Play a key role in data-driven product development for FinTech products, including travel insurance. Analyze data and build predictive models using tools such as Python and R to support product development.
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Background in data engineering, experience with big data technology such as Hadoop/Hive. Databricks notebooks to compare data between two data systems-maybe data engineering background.
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The Business Intelligence Developer is the subject matter expert in researching and developing data pipelines, data governance, data quality, and Extract Transform Load (ETL/ELT) activities supporting analytical and data science workloads including ad hoc analysis, visualizations, machine learning and artificial intelligence.
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Prior experience with Big Data tools like Spark, Hive, EMR, or Presto is necessary. Given our datasets' size, complexity, and criticality, we seek a Software Engineer with a deep analytical mindset and modern distributed systems experience with prior experience working with one of big data tools - Hadoop, Glue, Spark, EMR, Apache Iceberg in a cloud environment for processing petabyte scale data We seek a dedicated problem-solver with a proven history of devising creative solutions for intricate data challenges.
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You will construct semantic layers for Looker, MicroStrategy, Tableau, and In-House Tools on top of our big data warehouse, making sure the data is represented to analysts in an accurate, consistent, and performant way.
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4-7 years in business development roles providing management consulting, project management, data analytics, marketing, or digital transformation capabilities. Amplify Consulting Partners is a data-first consulting company trusted by Fortune 500 businesses to deliver high-impact professional services across the technology ecosystem-from data engineering and visual analytics to data-driven marketing and program management.
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Experience with controls in data centers or other critical facilities•Experience programming control logic systems in any of the following systems (or similar): Siemens, Tridium, Distech, Struxureware, or Alerton.
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Deliver interventional treatments including TMS, Esketamine (Spravato), and Ketamine Infusion Therapy and work closely with experienced clinical leadership team that has been applying innovative treatment protocols for years supported by positive patient outcome data.
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Analyze business and customer requirements related to SAP S/4 Procure to Pay, master data governance, E2Open supply chain collaboration solutions, and data integration solutions to/from Amazon corporate financial systems.
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A typical data entry specialist is responsible for accurate information documentation and personal project management. Title: Data Entry Specialist -SAP (Remote after training) The main function of a data entry specialist is to operate data entry devices, such as a keyboard or computer, to verify and input data.
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Design and implement data architecture leveraging technologies such as Databricks, Unity Catalog , Privacera, and Collibra. Data Platform Engineer with Databricks and Unity Catalog. Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality.
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Experience with modern cloud infrastructure, including EC2, Linux-based operating systems, docker containers, workload orchestration (Kubernetes, Nomad), data stores (relational DBs, NoSQL and document DBs (Elasticsearch), object stores (S3.
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big data jobs Title: data project manager Company: Oracle in Seattle, WA
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