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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. What you’ll be responsible for: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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Deep familiarity with advanced SQL in a modern data warehouse environment (BigQuery, Redshift, Snowflake, etc) Our Modern Data Stack is made up primarily of Python, BigQuery, dbt, Looker, Slack, Google Cloud Functions, and of course, Fivetran.
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Familiarity with Information Governance technology ecosystem and how it supports Information Governance processes including: enterprise content / document management systems, records management systems, archival systems, legal hold management systems, mobile device management systems, communication surveillance applications, privacy compliance management systems, data discovery and scanning, etc.
$116,200 - $213,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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We take ownership over the integrity of our data and work to improve data literacy across Tinder. We are seeking a passionate and motivated Staff Data Scientist to join Tinder’s Sophisticated Analytics & Engineering team.
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4+ years of industry experience in big data infrastructure or data warehouse engineering/business intelligence. Nice to have:B.S., M.S., or PhD in a related fieldPublications at conferencesExpertise with either big data infrastructure (e.g. Hadoop/Spark/Flink/Kafka/Airflow/Presto) or with using big data technologies for data processing, ETL, reporting.
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Data Quality Systems & Strategy (~30%) Rebuild and streamline data warehouse SQL models that support CALPADS. This is alongside the team-wide ongoing data warehouse migration process to move our infrastructure and functionality to an updated and best in class solution with BigQuery and dbtCloud.
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Rebuild and streamline data warehouse SQL models that support CALPADS. This is alongside the team-wide ongoing data warehouse migration process to move our infrastructure and functionality to an updated and best in class solution with BigQuery and dbtCloud.
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We are looking for a Principal Software Architect with experience in data-centric Internet systems, machine learning, cognitive science, AI, monolithic and microservices architectures, modern data architectures, reliability, resiliency, availability, cost efficiency, data privacy, security, compliance, technology selection, mentoring, and structured and unstructured engagements.
$240,000 - $300,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As the Workday HRIS Manager, you will play a pivotal role in the continuous development, optimization, security, data integrity, reporting, and overall platform management of Workday within our organization.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR. 10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc.
$226,000 - $361,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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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.
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Braze leverages cutting-edge technologies to manage and optimize data storage in a multi-petabyte data warehouse (Snowflake). We are seeking an experienced and dynamic Engineering Manager to lead our Datalake Team. The ideal candidate will be a strategic thinker with a strong technical background, capable of overseeing the development and optimization of our data warehouse and related products.
$225,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Under the direction of the Principal Investigator and co-investigators, the Data Manager will provide data management and analytic expertise for a study to compare the effectiveness of two different models of enhanced prenatal care available to low-income (Medicaid-eligible) women in Fresno County: "Glow.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Roles include data entry clerk, customer service agent, nurse or medical assistant - just choose what suits your skills best and start earning.
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data warehouse integrity jobs in San Francisco, CA
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