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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 at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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Software Engineering/Data Engineering: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions.
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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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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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If you’re doing Financial Planning and Analysis modeling inside a big media or ad tech company, come take your programmatic game to the top. by using SQL, Tableau, and Looker to create more sophisticated predictive modeling techniques and data visualizations to provide better revenue projections.
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Keep up to date on the latest developments in the laws, regulations, and industry trends applicable to media, ad tech, Big Data, OTT, IOT and smart devices, including federal and state data privacy laws, consumer protection laws, and other guidance from relevant agencies.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Undergraduate teaching experience in core topics in Data Science such as programming, data mining, data visualization, Parallel and Distributed Computing, Machine Learning, Big Data Engineering and, Probability and Statistics will be considered an asset.
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Equipment:Varian TruBeam, Phillips Big Bore 16-slice CT simulator, Bravos multichannel HDR afterloader, Eclipse planning system and ARIA electronic record and dosimetry services. Equipment:Varian TruBeam, Phillips Big Bore 16-slice CT simulator, Bravos multichannel HDR afterloader, Eclipse planning system and ARIA electronic record and dosimetry services.
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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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8+ years of professional experience in IT Governance, IT Risk, IT Audit, IT Operations or related fields, preferably with a Fortune 1000 companies or Big 4 assurance organization. Minimum of 3 years of professional experience in IT Governance, IT Risk, IT Audit, IT - Operations or related fields, preferably with a Fortune 1000 companies or Big 4 assurance organization.
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If you can handle the details of immediately urgent tasks but also remember to step back, consider the big picture, and adjust your strategy when needed, you'll assume greater editorial responsibilities over time.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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big job in Flushing, NY
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