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Cloud Big Data Solutions: Design and implement cloud big data solutions (AWS/Azure/Google Cloud Platform) with a deep understanding of Apache Hadoop and related tools such as Sqoop, Flume, Spark, Kafka, Hive, Pig, etc.
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This role encompasses working with diverse teams to design, develop, and deploy applications using core cloud data warehouse tools such as Azure Data Factory, Azure Databricks, Azure SQL DW, and other significant Big Data technologies.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Proficient in big data technologies such as Hadoop ecosystem (HDFS, Hive, HBase), Apache Kafka, and Apache Flink. Builds and manages data warehouses using technologies like Amazon Redshift, Google BigQuery, or Snowflake.
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Strong knowledge of database technologies, ETL processes, cloud platforms, and big data technologies. Technology Evaluation: Evaluate and recommend data management technologies and tools that align with the organization's evolving needs.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Distributor Sales & Broker network, Data Analytics (IRI/Nielsen), Marketing, Supply Chain, Have proven CPG professional experience with 4+ years of industry experience, willing to embrace a position that requires multiple skill sets, e.g., Thinking Strategically, Commercial Sales, Brand Marketing, Trade Marketing, Category Management, Data Analytics, E.com/Digital proficiency, and a proven understanding of operational business acumen.
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Provide input to the long/term plan for the Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization.
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Deep Technical knowledge and experience in Databricks, Python, Scala, Microsoft Azure architecture and platform including Synapse, ADF (Azure Data Factory) pipelines and Synapse stored procedures.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Optimize the performance of big data processing tasks and analytics jobs.
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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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A Sr. Big Data developer is responsible for designing, implementing and optimizing large scale data solutions using Google BigQuery and Python. Role : Big Data Developer.
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CGI is seeking a Sr. Data Scientist to join our Emerging Technology Practice. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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At least 10 - 15 years experience in Furniture Home Delivery (final mile) or related big box retailer / supply chain experience. Strong technical skills with Microsoft Office products, other analytical data software, and accounting ERP software (e.g., SAP, Oracle, etc.
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Proven experience as a CEO, CIO, CTO, COO, CFO, President, Senior VP who is experienced in running P&L business unit of big US company. \- Proven experience as a CEO, CIO, CTO, COO, CFO, President, Senior VP who is experienced in running P&L business unit of big US company.
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big data jobs Title: technology Company: Optello in Dallas, TX
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