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What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The Senior Analytics Engineer is responsible for integrating data into the Enterprise Data Warehouse (EDW) from various internal and SaaS sources using a cloud ELT platform, AWS Lambda/Glue, and Python to support downstream teams with reporting (Snowflake, Databricks or Redshift.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The Data Warehouse Manager will also recruit and manage a strong engineering team, set direction, set goals, plan for their career growth, and provide mentorship for the team. 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.
RemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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As a Product Manager focused on our connector ecosystem, you'll be working closely with engineering and partnerships teams to scale our integration our catalog of 200+ apps, tools, and data products.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Develop Data Pipelines using Scala and Spark EMR to move data into our consolidated data lake or data warehouse (Snowflake) Degree (Masters preferred) in Computer Science, Information Systems, Data Science, or related field and 7+ years of experience in data engineering, or an equivalent combination of education and experience.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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What you’ll doEvery record in our data warehouse is vitally important for the businesses that use Stripe, so we’re looking for people with a strong background in data engineering and analytics to help us scale while maintaining correct and complete data.
$136,800 - $244,700Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Our team sits at the center of Reddit, building self-service solutions that empower data science, ML, and engineering teams to produce & consume data from a petabyte-scale warehouse.
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Expert in engineering modern warehouse technologies and processes ( Redshift, Snowflake, Netezza, Teradata, BigQuery, Presto, etc. Our data warehouse, based on S3 and Redshift, has petabytes of data and forms the base of many data products we have at TuneIn.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, Databricks, BigQuery, Redshift, Airflow, Snowflake) As part of our data team, you'll work with stakeholders across the business, including finance, marketing, engineering, product, operations, and support.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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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 12 days ago - UpvoteDownvoteShare Job
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Collaborate with product, data engineering and broader engineering teams to refine data additions to the data warehouse, lead scoring, and dynamic lead routing incentive systems.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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The Data Operations Manager will also work closely with Engineering, Analytics and Product Management teams, in providing actionable insights and support for strategic initiatives along with building powerful tools for taxonomy administration.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Familiarity with the differences between data engineering concepts like Data Mesh, Data Lake, Data Warehouse, Data Fabric, and Data Lakehouse. In this role, you will evolve our data warehouse schema, solidify our transform architecture, and establish data governance patterns to serve our internal and external analytics needs.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Knowledge of Dbt, Airflow, Ansible, Argo, or other data pipeline systems; ideally experience building and maintaining a data warehouse. Deep experience (practical and theoretical) with Data Engineering and the accompanying workflows.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Background in Data Engineering, 5+ years of experience building and maintaining scalable data infrastructure, including distributed processing solutions (e.g. Spark), cloud-based data lakes and warehouses (e.g. Databricks, Snowflake, BigQuery), workflow management (e.g. Airflow, Luigi), and data transformation tools (e.g. DBT.
$159,400 - $210,900 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago
data engineering warehouse jobs in San Francisco, CA
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