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As a data architect, you will focus on the big picture of an organization’s data strategy. We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
$250ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, Spark, DBT. We’re looking for an experienced Data Scientist to support our Go To Market teams as they expand across product categories and geographic markets.
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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. 6+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc.
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TRM leverages big data and machine learning to prevent cryptocurrency fraud and financial crime. Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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You will collaborate closely with software development and operational support team members, in both ESP, across Fundamentals (including meteorology, geospatial technologies, and market intelligence and strategy) and Enterprise technology to implement best practices, drive continuous improvement and help take big-data analysis to a next level of optimization that can produce real-time market intelligence.
$118,000 - $160,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehousesExtensive experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP.
$181,000 - $241,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
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Enterprise Applications, Mobility / Collaboration, Big Data / Business Intelligence, Staffing Services, Cloud Solutions, Quality Assurance, Web Solutions, Digital Transformation, Product Engineering, talent solutions, Technology Solutions, Digital Product Engineering, Digital Enterprise, Snowflake, Oracle NetSuite, Apigee, Digital Integration, Data Management & Analytics, Digital Assurance, Extended Engineering Services , AI/ML, Business Process Automation, and TIBCO.
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Consulting, Staffing & Staff Augmentation, Managed Services, design thinking, big data, employee engagement, executive hires, digital engineering services, talent development, R&D Labs, Cloud Computing, DataOps, DevOps, RPA, digital transformation, and AIOps.
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Big Data Technologies: Proficiency in big data technologies and frameworks such as DBT, Airflow, etc., to handle large-scale data processing and analysis. Cloud Computing: Knowledge of cloud services (GCP BigQuery, dbt) and understanding of how to leverage them for data processing and storage solutions.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Research and evaluate new technologies in the big data space to guide our continuous improvement.
$250ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The trials also involve real world evidence generation, patient reported outcomes (PROs) and analysis of complex big data sets. Master’s degree in Data Science, Mathematics, Statistics, Biostatistics, Bioinformatics, Biological Sciences, or related discipline.
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big data jobs Title: manager Company: Deloitte in San Francisco, CA
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