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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 6 days ago - UpvoteDownvoteShare Job
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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 Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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Familiarity with additional big data tools and platforms such as ClickHouse, Druid, Snowflake, Impala, Presto, Kinesis, etc. 3+ years of hands-on experience in big data development using technologies such as Spark, Flink, Singlestore, Kafka, Nifi, and AWS big data services.
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Work with customer data and own the development of an AI solution from ideation to productionLeverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers.
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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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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.
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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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With leadership from big tech like Google, Apple, Microsoft, and hyper growth startups like Nest, Waymo, TaskRabbit, and Casper, we’re motivated to make the world a happier and healthier place for modern families.
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At ERI, the Business Data Analyst will not only produce rigorous quantitative and qualitative research, but will also help shape the messaging and strategic frameworks that influence public policy, grant making, coalition building, and on-the-ground campaigns.
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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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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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The position's primary responsibilities include the strategic oversight of prospect, donor and gift data, the translation of business use cases into actionable reports and dashboards, oversight and development of the business intelligence environment, and the application of analytics to help build the prospect pipeline for a variety of fundraising initiatives, including principal gifts, major gifts, planned giving, annual giving, and events.
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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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big data jobs Title: developer in Los Angeles, CA
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