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Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks. On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes.
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Familiarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
$148,800 - $248,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Seven (7) or more years of hands-on professional experience using tools such as Informatica PowerCenter or Informatica Data Quality to export, transform and load data from source databases (e.g., Oracle) and flat files into the Informatica MDM landing tables.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Being a domain expert on data modeling, data pipelines, data quality and data warehousing.
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Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala. Hands on experience working with Azure Cloud services like Azure Data Factory, Azure Data Lake Storage, Azure Even hub, Azure SQL, Azure Analytical services, Azure Cosmos DB.
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Demonstrated expertise in big data technologies, including Apache Spark, Scala, Python, SQL, and TEZ. At least 8 years of deep data engineering experience focusing on Spark and SQL application development.
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Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid) Inviting applications for the role of Senior Principal Consultant-Big Data environments (cloud, on-prem, hybrid.
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Hands-on experience to design and build solution powered by DBT models and integrate with databricks. Hands-on Experience to design and build Databricks based solution on any cloud platform.
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Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Professional Experience: At least 5 years of experience in data engineering, with a strong focus on data integration and pipeline construction in cloud environments and enterprise data warehouses like Snowflake.
$134,500 - $215,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on development experience with query engines and database systems, such as Clickhouse, Druid, Presto, BigQuery. As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model.
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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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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. Expert in applying SCD types on S3 data lake using Databricks/Delta Lake. 6+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc.
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Hands-on experience in large scale data pipeline optimization for accelerated model training, including hyper-parameters tuning and GSD (Graduate Student Descent). Proficient in Linux/Unix data workflows, hands on experience in large scale data processing for ML applications a requirement.
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hands on big data jobs Company: Directv in West-greenwich, Rhode Island
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