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I worked extensively on POCs, Consulting Solutions, ETL Framework/ Architecture, Big Data technologies, Talend Master Data management, Performance optimization, ETL techniques, pilot projects, SQL Views etc.
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Extensive experience in using Talend features such as Data processing optimization, implementation of Big Data solutions using Talend-Bigdata Implementation of parallelization using Talend, extracting data from multiple parallel databases like Hive, MySQL, Oracle etc.
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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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With leadership from big tech like Google, Apple, Microsoft, and hyper growth startups like Nest, Waymo, TaskRabbit, and Casper, we’re motivated to make the world a happier and healthier place for modern families.
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Proficient with Data Warehousing solutions (e.g., Redshift, Snowflake, BigQuery, Lakehouse, Data Mesh, Medallion Architecture) Cerberus Technology Solutions (CTS) is a subsidiary of CCM focused exclusively on leveraging emerging technology, data, and advanced analytics to drive transformations.
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Related Bachelor’s degree in Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization or additional related equivalent work experience.
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NET, SQL Server, AWS Data technologies (including Athena, Glue, PySpark, Scala, MySQL, PostgreSQL, and Airflow), and financial reconciliation. Strong knowledge of AWS data technologies including Athena, Glue, PySpark, Scala, MySQL, PostgreSQL, and Airflow.
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Snow Fox Data, a division of Excelion Partners, is the premier partner for data strategy, analytics, data science, and AI consulting. Whether your organization needs a better data strategy, improved KPIs, ad-hoc analytics, or a machine learning solution, we meet you where you are in your data journey and get you to where you need to go.
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Experience with cloud-based data platforms (AWS, Azure, Google Cloud) and analytics platforms (Snowflake, Redshift, BigQuery). Hands-on experience with data visualization tools (Tableau, Power BI) and statistical analysis tools (R, Python.
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IBM, BMC or Broadcom would be a big plus. Experience IBM Db2 Analytics Accelerator, Data Studio and Admin Foundation for z/OS. Strongly considers upstream/downstream data and systems or technical implications and advises on mitigation actions.
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Working closely with other technology eaders to design and develop enterprise-wide data strategy for data modeling, data pipelines, and data integrations across various environments and technology stacks Developing performant data movement pipelines using real-time event data streams (Apache Kafka, Azure Event Hub, AWS Kinesis, Azure Databricks etc.
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MySQL, PostgreSQL, Mongo DB, RDS, DB2), Big Data systems (ex. Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3.
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As a Site Reliability Engineer, you will support massive amounts of data across everything from sports, content, marketing, ticketing, TV, finance, media, etc. The business is amid tremendous growth and looking to expand its already expansive consumer base, putting a huge emphasis on data, uptime, high availability, and disaster recovery while driving new marketing initiatives, greater brand partnerships, and building an even more massive, unified platform.
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The Department of Data Science (DS) at New Jersey Institute of Technology (NJIT) seeks candidates to fill Adjunct Professor positions. Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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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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big data jobs Title: manager Company: Deloitte in New York, NY
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