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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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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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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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These systems include, transformers, PLC’s, generators, switchgear, UPS systems, STS’, ATS’ PDU’s, chilled water systems, CRAC/CRAH, wet sprinkler systems and pre-action sprinkler, network equipment, transmission media, cabling infrastructure, security hardware, and CCTV. Duties: Completion of CoreSite’s Data Center Operations Qualification Program to the tier level at which you are hired within the first nine (9) months of employment.
$80,000 - $95,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience must include systems design, database management, development of online data entry and data inquiry capability, and defining techniques to be used for backup, restart, recovery, data security, file structuring, and optimum processing techniques; and communications network analysis, design, planning, and performance tuning.
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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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Full Stack Web Developer (Entry Level) - (US/Canada, 1 year experience, remote) By providing intelligent and data-driven solutions, they strive to enhance the efficiency and effectiveness of the hiring process, ultimately helping companies find the best talent and individuals find their dream jobs.
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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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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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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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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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In addition, to its direct clinical services, DHS also runs the Emergency Medical Services (EMS) Agency and the County's 911 emergency response system, as well as Housing for Health and the Office of Diversion and Re-entry, each with a critical role in connecting vulnerable populations, including those released from correctional and institutional settings, to supportive housing.
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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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3+ years of experience with Python Data Stack: pandas, numpy, sklearn, tensorflow, pytorch, matplotlib, etc. 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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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.
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data entry jobs Title: data entry administrator Company: Officeteam in Los Angeles, CA
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