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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. 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.
$126,000 - $216,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Build high-performing data processing frameworks leveraging Google Cloud Platform and utilizing GCP Services like Big Query, Python, Composer, Dataflow, GKE, Pub-Sub, Cloud Monitoring. As a member of the Data and Analytics organization, you will be responsible for designing, building, and maintaining best-in-class data engineering pipelines aimed at driving best-in-class solutions primarily using Cloud platforms like GCP. You will collaborate with cross-functional teams, including data scientists, analysts, business SME’s and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data.
$72,100 - $144,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with Big Data technologies: Spark, Databricks or other frameworks. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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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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Utilize Salesforce or similar CRM systems, drawing on 10+ years of experience, to efficiently manage customer data and sales activities. Sr. Sales Manager will also be responsible for maintaining the quality, efficiency, and integrity of Supermicro's sales process through various means of marketing activities and working with cross functional teams - including Engineering, Finance, Logistics, and Programs.
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Act as a Subject Matter Expert for migrating on-prem applications to cloud-based PaaS focusing on data warehouse and big data solutions: Microsoft Azure HDInsight, Azure Databricks, Azure Synapse and Snowflake.
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Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode; Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, KafkaLife at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career.
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The Power BI Developer is responsible for developing data pipelines and reports that connect multiple API's to provide insightful, actionable data. Managing the Data Pipelines maintained in Azure Synapse, Databricks to ensure the data set is properly ingested into the data warehouse.
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Should have in depth understanding on Data Warehousing, Master Data Management (MDM), Data Quality, Data Lineage, Data Modeling, Data Profiling and Data Policy and handled Data Governance programs.
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The employee will work in a matrix environment (customers, MHS field sales, Macro Helix account managers, 340B Impact) to identify and respond to gaps and updates in 340B Impact customer account tables to ensure that accurate and comprehensive data is reported to customers.
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Knowledge of big data platforms like Snowflake, DBT, AWS Redshift, Postgres, MongoDB, and Hadoop. Strong experience in building ETL data pipelines and analysis using Python, SQL, and PySpark.
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USEReady is looking for a Sr. Data Governance Product Owner to lead the IDQ/EDC/Axon/DGDC team for the design, development & deployment of Data Quality and Data Governance deliveries.
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big data jobs Company: 3ktechnologies in Irving, TX
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