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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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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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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Implement solutions using big data technologies such as Hadoop, Spark, and others to handle large-scale datasets. Experience with big data technologies and data warehousing.
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Skill: Big Data Architect Big Data Architect, Cloudera Big Data Tool stack (Hive, Impala, OoZie), Pyspark, Teradata, Shell Script, Unix programing, Hadoop. Proficiency in Python for advanced data analysis, scripting, automation, and integration with Big Data platforms and ecosystems.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks, etc.) Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms and Data Streaming technologies, Cloud Azure and GCP platforms.
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The solutions developed draw on IT-RI’s strong capabilities in statistical modeling, machine learning, natural language processing, information retrieval, statistical genomics, data mining, and big data management and analytics.
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Experience with Marketing APIs, Big Query or other Cloud Data Warehouse tools (AWS, Snowflake, Databricks, etc.) Because you love data, you have advanced knowledge of SQL, Excel, Google Data Studio/Data Visualization and enjoy working with SQL on a day-to-day basis.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Big Data: Azure Stream Analytics, Azure HDInsight, Amazon E lastic Map Reduce (EMR) , AWS Athena, Apache Spark, Hadoop, Hive. Lead the technical design and solutioning of migrati ng on-premise legacy data solutions to cloud-based data platforms.
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4+ years of professional experience as a data scientist in the SaaS industryWorking knowledge of Unix command-line/shell and gitExperience deploying models in a production environment, ideally with Databricks.
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2+ years experience on Big data pipelines/DAG tools like Airflow, dbt is required. The combination brings together healthcare expertise, AI/machine learning technology and data-driven analytics solutions to deliver innovative solutions and value to our customers and the healthcare ecosystem.
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Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query & Big TableProven ability in one or more of the following programming or scripting languages- Python, JavaScript, Java.
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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big data jobs Title: technology lead Company: Capital One
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