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In support of UCSF's equity and inclusion programs, this role is responsible for the design, specifications, coding, testing, implementation, maintenance, documentation, debugging, and troubleshooting of data warehouse solutions.
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Census is the first Data Activation platform built on your warehouse. With Census, analysts can turn their data warehouse into a single source of truth and publish their insights directly into the apps that marketing & sales teams use daily.
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As our Lead Data Engineer, you will own the data pipelines that will feed a new data warehouse and it will be a critical role to work cross functionally with stakeholders. It’s Important To Us That You Have-3+ years of experience in large-scale data engineering, including tools such as Redshift, Big Query, Databricks, Hadoop, Spark, PySpark-Strong understanding of distributed systems architecture and data processing.
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Experience working with BigQuery, RedShift, Snowflake, or any other Data Warehouse platform. 8+ years experience working in data engineering, business intelligence, or a similar role.
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Be a primary steward and architect of our data warehouse and business intelligence capabilities to support critical operational decisions. This includes definition and maintenance of our data warehouse core data sets and conventions, as well as developing a robust ecosystem of tools and workflows to support data scientists and operations.
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Expertise working with cloud-based data warehouse solutions (BigQuery, Snowflake) Proficient in building and optimizing data infrastructure using modern technologies and frameworks (e.g., Kafka, Airflow, API Integrations, CI/CD, Terraform, etc.
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Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, Databricks, BigQuery, Redshift, Airflow, Snowflake) Strong SQL and data modeling skills, with experience applying skills to thoughtfully create data models in a warehouse environment.
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You will find yourself at home if you are comfortable with work such as scaling Kubernetes services, debugging Kafka consumer lag, diagnosing various distributed systems failures, and developing a new end-to-end data processing pipeline, all the way from raw data capture to bespoke analytics leveraging a data warehouse or a stream processing framework.
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Verify cash, perform data input into iTrack, mix and check for all deposit types including check only, CompuSafe, ATM, Recyclers and mixed. Cash Processor - Warehouse. Brink's U.S., a division of Brink's, Incorporated, is the premier provider of armored car transportation, currency and coin processing, ATM servicing and other value added services to financial institutions, retailers and other commercial and government entities.
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Familiarity using at least one column oriented database/data warehouse (i.e. BigQuery, RedShift) Comfortable collaborating with data scientists, product managers, machine learning engineers, and systems engineers.
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The Data Warehouse Manager will be responsible and take ownership in supporting the EIA data and analytics portfolio that includes, but is not limited to, resources that manage back-end data curation, data visualization, business data strategy, data governance, and other data warehousing and data science needs in the future to support the needs of EIA. This role will also work closely with other UCSF IT teams.
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Solid understanding of relational database modeling and design, including experience building data-intensive applications in data warehouse technologies like BigQuery, Snowflake or something similar.
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Design, develop, and maintain end to end data solutions using open source, modern data lake, and enterprise data warehouse technologies (Hadoop, Spark, AWS Cloud, etc.) Experience in developing an end-to-end AWS native platform for building Data lakes ( S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation/Terraform, CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena.
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The role of the Energy Analyst is to advance our data system and platform so it will empower our teams to better utilize our market data warehouse. The Energy Analyst will do this by applying domain and market expertise to advance our raw data into explorable, understandable data views and processes.
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Experience with enterprise software; Oracle, Tableau, Archeva, Warehouse Management Systems (WMS) By aggregating, examining and leveraging reports, you're able to scrutinize data collections that pinpoint the origins of issues and determine optimal courses of action.
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data warehouse jobs in Oakland, CA
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