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Experience with Big Data frameworks (e.g. Hadoop MapReduce, Spark, Hive, Kafka) Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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SKill: Big Data Architect, Cloudera Big Data Tool stack (Hive ,Impala, OoZie), Pyspark, Teradata, Shell Script, Unix programing, Hadoop 8+ years of data engineering/architecture experience in Waterfall and Agile Methodology, with a proven track record of delivering complex data solutions, preferably in the financial sector.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogeneous data analytics.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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Build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability. The right person for this role should have extensive experience on big data as well as solid expertise on backend services or full stack.
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Well versed with Hadoop, Hive, Spark using Scala, Kubernetes, Vertex AI, Presto/Trino, Cloud, Automic, Airflow and Data Lake concepts. Experience with Kafka connect, Druid, Big Query and Looker is added advantage.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Take ownership and give new insights to electrical control systems including PLC data collection and display. Ability to connect equipment input/output data into facility computer monitoring system.
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Prior experience in Analytics, Big Data, Cloud, Digital Asset Management, Master Data Management and Data Warehousing as it related to Health Plans; Provide solution designs in the area of Analytics, Big Data, Cloud, Digital Asset Management, Master Data Management and Data Warehousing.
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Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
$40.9 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Act as Data Science Subject Matter Expert (SME) in the delivery and development of machine learning and AI products. As a catalyst for innovative digital marketing ideas, what excites us at TRKKN is using a data-driven approach to take our clients’ business to the next level.
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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.
$217,200 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Big Data Technologies: Hadoop, Spark, Athena, materialized views. Data Visualization: Tableau, Looker, Power BI, Quicksight. Highly experienced Full stack Engineer with expertise in cloud engineering, data engineering, and data warehousing, particularly within the AWS and google cloud ecosystem.
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Experience with Big Data technologies such as Spark/PySpark, Hive, Pig, and Kafka is also a plus. Experience working with modern cloud data platforms like AWS, Azure, GCP, Snowflake, Databricks, etc.
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big data jobs Company: Acxiom in CA, Us
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