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Job Title: Jr. Big Data Engineer (Urgent hiring) We are a premier IT consulting firm specializing in delivering top-tier Big Data solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Familiarity with big data technologies like Apache Hadoop and Spark. Skills: Deep understanding of GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and IAM. Proficiency in data modeling, ETL processes, and data warehousing.
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We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. Create and maintain ETLs and data pipelines for continuous data integration and analysis.
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Department ProfileGMO’s Investment Data Solutions (IDS) Team consists of over 35 technology and data engineering professionals who partner closely with GMO’s investment managers and research teams to provide structured and unstructured market data, data engineering and analysis, quantitative application development, operations, and support in all areas of the research and investment process.
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Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Minimum of 6 years of development experience using Snowflake, Databricks, Spark, Redshift, or equivalent data technologies. 3+ years leveraging Databricks, Snowflake, AWS, or equivalent cloud data platforms.
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Utilizing knowledge of modern big data approaches preferred: e.g. PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, R, Python, Java, etc. Finance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Data Processing/Analytics/Science, Mathematics, Accounting.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Experience (EMEAA):Five or more years of experience in leading master data governance initiatives in material management, transportation management, and distribution centre/warehouse management Good understanding of Business Systems – SAP, Coupa, POE/OMS, Salesforce, Steriworks, Omnitracs RoadNet, Descartes or similar Transportation Management Systems (TMS) Foundational understanding of Product, Services, Supplies etc.
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Role Detail Focus on software development life cycle, collaborating with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration, and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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PhD in a relevant discipline such as: computer science, math, computer engineering, statistics, cognitive science, electrical engineering, bioengineering, data science, etc. The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers.
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Partner with BST colleagues to develop efficient processes for execution of bioanalytical and biomarker activities with a solid understanding of Quality Assurance and geographical requirements to ensure vendor compliance and data integrity.
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Knowledge of hyper-scale data centers, fiber optic or copper data cabling is a plusRCDD is a plusRevit or AutoCAD is a plusAudio-visual and security competence, consulting and design is a plusOur Flexible & Hybrid Work Culture At Vanderweil Engineers, we believe our best work is done when flexibility is offered.
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Experience with any MPP data warehouses e.g. Snowflake, Big Query, Redshift etc. Experienced on Big Data platform like Hadoop, hbase, CouchDB, hive, Pig etc. 5-7 years of experience as a Data engineer with extensive working experience using Pyspark, Advanced SQL, Snowflake, complex understanding of SQL and Skills, Spark, Snowflake and Glue.
$75 an hourExpandApply NowActive JobUpdated 18 days ago
big data jobs Company: Dice in Boston, Chagrin-falls, Ohio
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