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Hands-on production experience with orchestration systems such as Airflow. Hands-on production environment experience with distributed processing systems such as Spark. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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5+ years of experience in test automation and testing integration functions same or like RCSA related business controls Proven hands-on experience in Java, JEE, Streaming, API, Microservices, Containerization and UX/UI tools such as Angular JS/React, etcIn-depth knowledge on data engineering, DB models and architecture in RDBMS, Big Data and other cloud databases such as snowflake, Databricks, etc.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) Hands-on experience with "productionalizing" Big Data applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Should have worked on big data initiatives & scalable data architecture like Hadoop, Hive, Cloudera, Spark. Hands on experience in dealing with structured and unstructured data from multiple sources and applying machine learning techniques and algorithms to discover patterns, intents and build knowledge repositories and graphs to solve enterprise problems.
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RNN) in a work setting, not just academic projects Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
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Expert-level professional hands-on experience in extensible data pipeline development and orchestration with tools like Apache Airflow, Step Functions, etc. You are skilled in a broad set of ETL/Big Data processing techniques and will lead the architecture, design and implementation of scalable, extensible, and highly available data ETL pipelines on large volume data sets, which will enable actionable insights and ML workloads across Pfizer’s Commercial business.
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Primary Responsibilities: Client is searching for a hands-on business-focused technology manager to lead Client Master MDM solution that covers institutional and wealth management channels and manages data about organizations and associated contacts.
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Hands-on experience with big data frameworks like MapReduce, HDFS, Hive/Impala, and AWS Athena. Contribute to cloud strategy based on hands-on experience with cloud and data technologies.
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Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Tableau & Power BI. Exposure to cloud platforms and big data systems such as Hadoop HDFS, and Hive is a plus.
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We would like to hire hands on Scala developer that will be responsible for delivering a high quality code in a big data platform, Unit testing in automated test framework, automated DevOps release and documentation of technology solutions for transaction monitoring, customer activity review, Optimization of scenarios and other associated transformation activities.
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The must-have for the role is hands-on experience (two to three years) with Adobe Analytics, Coremetrics, or Google Analytics. This famous brand is making a play to be THE integrated omnichannel retailer of the future, and they’re making a big bet in data and analytics.
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This is a hands-on leadership position seeking individuals who can think big, create structure and effectiveness in ambiguity, draw on their deep dive understanding of the digital Ads landscape by levering experience in working with cross- functional teams, including distribution leaders, applied scientists and engineers.
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Knowledge of and hands-on experience with big data processing and parallel computing frameworks, such as Hadoop and Spark. As a Software Engineer on the Ads Targeting team, you will design and build large-scale foundations for data processing and serving for next-generation ads targeting products, and applied machine learning models to scale budgets by understanding user interest and intention.
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big data hands on jobs in New York, Bentonville, Kansas
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