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Extensive knowledge of data management and analysis tools including Databricks, Snowflake, Domo, and Tableau (Teradata and Cognos a plus; Splunk, Kibana, DataDog, New Relic, or other monitoring tools an huge plus.
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Standing up a reporting system in BigQuery from scratch, including data replication, infrastructure setup, dbt model creation, and integration with reporting endpoints. As a Senior Data Engineer, you'll leverage all sorts of data, from application event streams to product databases to third-party data, to help stakeholders create products and answer business questions.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Direct hands on experience with highly scalable data pipelines using BigData technologies (Spark, Hive, Airflow, DBT, Parquet / ORC, Kafka / Streaming, etc) 8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines.
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U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. 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.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Proficient with AWS data-related services such as RDS, DynamoDb, Redshift, Data Migration Service (DMS), SageMaker. Experience architecting and implementing data warehouses on top of a multitenant SaaS product using Snowflake or AWS Redshift.
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Proficiency with one of the Cloud data-warehouses / data-lakes like Snowflake, Google BigQuery, AWS Redshift, Azure Synapse, Databricks. Deep understanding of data engineering fundamentals, ELT / ETL, latency, observability, lineage, distributed storage and distributed computing.
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Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes. We are looking for a passionate Principal Engineering to help architect and scale the global data platform systems and services for our new global streaming app, Max, as well as any streaming and non-streaming initiatives within the company.
$175,700 - $326,300 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Our data warehouse is built using tools like BigQuery, Airflow, and dbt. About the Team:The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Experience with data visualization tools (Looker, Power BI, Tableau). Our Game Studio is seeking a talented Senior Data Analyst to join our dynamic team. Familiarity with DAG/workflow management tools like Apache AirflowExperience with data scraping and data science methods.
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5+ yrs in a pivotal Software/Data Engineering role, with deep exposure to modern data stacks, particularly Snowflake, Airflow, dbt, and AWS data services. -Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack, which encompasses Snowflake, Airflow, dbt, Great Expectations, and AWS data services.
Full-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Expert level hands-on experience demonstrating OneStream Platform features such as business rules, workflows, dashboards, data management, API, integrations with diverse data sources, BI blend, data visualizationExperience working in an Agile development environmentStrong development experience building and managing metadata, business rules, automating data flows, and building complex reports and dashboards within OneStream application.
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Sales data literacy and familiarity with syndicated POS and panel data sources such as SPINS, Numerator, IRI or Nielsen. Drive demand at retail through strategic and integrated omnichannel programs leveraging best practices, data, consumer insights and past program performance.
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Minimum of 2 end-to-end SAP Master Data Governance implementations. Minimum 3 years of experience with/in SAP Master Data Governance. Hands on experience/expertise in Master Data Governance including (but not limited to): Material Master or Finance Master Data Objects or Customer or Vendor.
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data job in Beverly Hills, CA
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