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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau.
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Familiarity with cloud-based big data platforms such as Snowflake, CosmosDB, and/or Azure Fabric would be considered a plus. Functional and technical knowledge of Card Payments KYC, AML, and Data Protection standards, including but not limited to: PIC Standards, ISO8583, PSD2 / PSD3, AMLD, GDPR, etc.
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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 Today - UpvoteDownvoteShare Job
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Big Data Technologies: Proficient in BigQuery, PySpark, SQL, Apache Hadoop, HDFS, and Hive. Data Engineering: Knowledge of ETL processes, data pipelines, and workflow automation tools like Apache Spark and Apache Airflow.
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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.
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Provide in-depth knowledge of GCP data services (Big Query, Cloud Storage, Dataflow, Looker/Tableau etc.) Extensive experience in data warehousing, data management, and business intelligence with proven expertise in Google Cloud Platform (GCP) and its data services (Big Query, Cloud Storage, Dataflow, etc.
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At least 10 years of Experienced with all the tasks involved in administration of big data and Meta Data Hub such as Cloudera. The selected candidate will be responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Advanced Analytics - Applied Econometrics, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Exposure to Big Data managed services such as Azure HDInsight, Databricks, Azure Kubernetes Service and AWS EMR. Exposure to managed AI/ML services such as AWS SageMaker/Azure Machine Learning to derive predictive analytical models.
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Required Skills : BIG DATA ENGINEER - With Kafka, Hadoop, Scala, EMR, Spark, JavaExclusive to Apex with a long term project. Big Data Engineer. Required Skills : BIG DATA ENGINEER - With Kafka, Hadoop, Scala, EMR, Spark, JavaExclusive to Apex with a long term project.
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Proven ability to handle and process large volumes of data and ability to utilize big data frameworks and tools such as Apache Spark, Hadoop or Kafka for real-time data ingestion and processing.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Ace Hardware Corporation seeks experienced and driven technologists with a strong blend of business acumen, strong interpersonal skills, and technical expertise in analytics, big data, machine learning, and generative artificial intelligence.
$197,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop and optimize Databricks notebooks for big data processing and analytics in Azure Databricks environments. Expertise in SQL Server Management, Azure Data Factory Development, Databricks Engineering, Delta Parquet File Management, and SQL Server Integration Services.
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big data jobs Company: Gentle Dental in WI, Hawaii
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