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Solid experience in building Big Data Pipelines (Batch and NRT) on Hadoop Ecosystem including HDFS, Hive, Spark, Scala, Sqoop, Kafka, NiFi, and real time streaming technologies and host of big data open source stack.
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Must have technical “Hands-on” experience in implementation of data solutions and related downstream systems like data lake using technologies like Informatica IICS, Databricks Python, ADF, Snowflake and other Azure Databases.
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Familiarity with ETL data engineering techniques using PySpark within Databricks/Snowflake preferred. Degree in Engineering, Statistics, Applied Mathematics or Data Science preferred. Ingredion is hiring a Data Scientist who will be part of a multidisciplinary team focused on establishing In Silico experimentation capabilities and Artificial Intelligence technologies for product innovation.
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Proven track record of consistently architecting, designing, developing and/or implementing an end-to-end Big Data Lake, Business Intelligence Tableau/Power BI/Qlik, Data Science project.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with Azure Synapse, Big Data or Snowflake is a plus. Skills required: Azure Data Factory, DataBricks, Data Lake Architecture, Azure DevOps, Python, SQL, solid understanding of Azure fundamentals and security best practices, Release management.
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Must have a solid background in business processes and data structures and APIs with several years of experience with multiple best-in-class solutions like Oracle EBS Order to Cash, Financials, EDI, VAT, Cost Mgt, Inventory, Procure to Pay/ Proven experience in business processes and solution design, function APIs, technical architecture, Integrations, Data Conversions, and SDLC. A solid grasp of GDPR and other international data privacy standards and regulations.
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Synopsys is seeking a Senior Information Security Engineer, to join our team and is responsible for the Identity Access Management and Data classification programs. Help build the roadmap on how to mature the IAM platform through the big picture approach and integration with other teams and identifying dependencies.
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MUST HAVE SKILLS: COBOL, DB2, CICS, MQ, FileAid, XML Also, good to have some JAVA, JSON, AWS, Cassandra, HTTP, RPA, Pega. -Knowledgeable in programming, data structures, computer systems, and software engineering.
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Working experience in Inventory management, master data governance, interfaces design and supply chain finance related end to end processes design. Build strong partnerships with Finance, Global process owners, Shared services, Master data team, and key individuals within other cross functional organizations.
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12+ years of overall experience in architecting and building large scale, distributed big data solutions in the capacity of software architect, solution architect, or engineering leader.
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Minimum 12years of experience as technical architect and should have designed big data solutions on Hadoop based technologies specially Cloudera. Working closely with the stakeholders & designed end to end life cycle on big data, data management, data governance solutions.
$65 - $70 an hourExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Implement concepts of Big Data(Hadoop) ecosystem such as YARN, HDFS, HBase, Zookeeper, Spark, and Hive Accountable for storage, performance tuning, and volume management of Hadoop clusters.
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The successful candidate will be responsible for the advanced configuration and operating system upgrades of carrier-class Cisco, Juniper and Nokia equipment that tie together a complex, multivendor nationwide data network.
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Tech: Java, Python, Mediation, CDR, ASN.1, Telecom, 4G, 5G. PM: Define and build analytical use cases for data mediation platform in telecom domain. Title: Data Mediation|Data Architect.
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A demonstrated deep technical aptitude in at least one of the following areas: data science, machine learning, mathematics, game theory, computer science / software engineering, blockchain protocol development, statistics, and/or quantitative trading.
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