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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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You will lead a team of researchers creating data-driven algorithms for ATG. The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
$199,300 - $247,500Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Strong experience with Hadoop, Impala, Pig, Hive, YARN, and other big data technologies. 5+ years experience performing data warehouse architecture development and management across one or more data warehouse solutions including BigQuery, Synapse, Teradata, Vertica, or Snowflake.
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You also have:Hands-on experience in testing and validating ETL pipelines and knowledge of big data frameworks and architectures, including Spark, Hadoop/MapReduce, Airflow, and Streaming (Kafka or similar message bus.
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Work with big data technologies like Azure Databricks, Apache Spark & Palantir. 8+ years of experience in data engineering, machine learning, and cloud tech developing production grade software components and solutions.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain. Working closely across groups, such as the product, engineering, data science, and external partners for data modeling, general management of data life cycle, data governance and processes for meeting regulatory and legal requirements.
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Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode; Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. GCP Data Engineer.
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Our category-defining enterprise platform enables organizations to operationalize trust across privacy, security, data governance, GRC, third-party risk, ethics, and compliance, and ESG.The ChallengeSenior Principal Data Engineer will be part of an innovative data team that enables Finance, Marketing, Product, Sales and to explore data and take actions that differentiate us from our competition.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Good understanding of Delta lake and how it can be used in conjunction with Blob or ADLS � Experience using Azure Synapse as source or target for the data pipelines in at least 1 project � Knowledge of Azure Data Factory or Databricks scheduling features to automate Databricks jobs � Self-starter who can pick up any other relevant Azure Services in the Analytics space � Strong understanding of Data Modeling and defining conceptual logical and physical data models.
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The role of VP Data Modeling is to develop, implement and maintain physical data models for domains with respect to financial services, in support of Aladdin Data strategy. Ultimately, a top-notch data modeler should be able to design models that are atomic, reduce data redundancy, streamline data movements, and reduce TCO.
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Experience in Big Data environment specifically PySpark and/or Databricks. Demonstrated experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors with Python, R, SAS, SQL, MATLAB, DataRobot or similar statistical and scripting tools.
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Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Focus on building feature rich data engineering/cloud computing backend with Kubernetes and parallel processing. This Associate Data Engineer role will primarily be contributing to the development efforts on our existing Data Engineering team with focus on our Data Warehouse pipelines.
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big data jobs Title: data project manager Company: Crowdstrike in Atlanta, GA
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