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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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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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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Track record of thought leadership and innovation around Big Data. Solid understanding of Cloud Computing Technologies and related emerging technology (e.g. Amazon Web Services EC2, Elastic MapReduce, Azure, GCP) and considerations for scalable, distributed systems Knowledge of NoSQL platforms (e.g. key-value stores, graph databases, RDF triple stores.
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Your expertise in Java, Python, Spark cluster management, data science, big data, REST API development, and knowledge of Databricks and Delta Lake will be essential in driving the success of our data initiatives.
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4-7 years Experience managing and leading employeesKnowledge, Skills and Abilities:Extensive background and strong technical expertise working with big data at scale (1P, user-level) with popular frameworks (Spark) and enterprise data platforms (Databricks, Snowflake.
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This is a fall internship role at Staffing Analytics located in New York City. As a Data Scientist Intern, you will be responsible for diving into (un)structured data to unearth practical insights, backtest and optimize models, perform statistical analyses and forecasting, and also to familiarize yourself with end-to-end deployment of data-driven optimization web applications.
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Experience with Big Data platforms, tools, and technologies developed over the past 3 years, such as PySpark, Hive, Databricks, and Kafka. Integrate business logic with both antecedent and subsequent applications and systems, such as RDBMS, File System, Hive, Delta Lake, Azure Data Lake, Azure Event Grid, Azure Function, Azure Event Hub, etc.
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The Global Payments Solutions Data & AI Strategy and Management team (DSM) is looking for a Data Steward Executive (DSE) for the Global Transactions Services, part of the GPS team which is a ~$15bn business.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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How you’ll make an impact: In this role you will be a member of a team responsible for designing and developing a data ecosystem to promote an environment of data democratization and utilization across SiriusXM and Pandora.
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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
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Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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Experience and comfort in working with data from globally-trusted third-party sources like the UN, IMF, OECD, and World Bank. Familiarity with data visualization tools like Tableau or Power BI.
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data big jobs Company: Adobe in New York, NY
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