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Improve our tools for data analytics, visualization, governance, and lineage (e.g. Databricks, Redash, Amundsen, Marquez, etc.) From distributed data processing with Apache Spark to full stack web development on the Experimentation UI, to building and maintaining Kubernetes applications, you’ll have the opportunity to wear many hats and create outsized impact.
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The Senior Data Scientist is a member of the Data Science Center, which supports Cornerstone's litigation teams with data wrangling and advanced analytics programming in an environment with multiple simultaneous big data projects.
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Experience with Databricks, Alteryx, Data integration, Data Masking tools, Access Management and Data Governance tools. The Federal Reserve Bank of San Francisco is looking for a Lead Cloud Data Engineer to join the Data and Analytics Service (DAS) Team. We are a team based out of San Francisco that partners with business lines across the Federal Reserve System to deliver the cloud + big data solutions and advanced analytics products.
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TRM leverages big data and machine learning to prevent cryptocurrency fraud and financial crime. As a Frontend Engineer at TRM Labs, you will collaborate with an experienced team of data scientists, engineers, and product managers to build scalable infrastructure for TRM's products and services.
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Bonus if those were open-sourced big data processing frameworks using technologies like Spark, Airflow, Kafka, Flink, Iceberg, Deltalake. Prior technical experience in Big Data solutions - you've built meaningful pieces of data infrastructure.
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Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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Full Time] Data Engineer at Sidekick (United States) | BEAMSTART Jobs. Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. 6+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc.
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Enterprise Applications, Mobility / Collaboration, Big Data / Business Intelligence, Staffing Services, Cloud Solutions, Quality Assurance, Web Solutions, Digital Transformation, Product Engineering, talent solutions, Technology Solutions, Digital Product Engineering, Digital Enterprise, Snowflake, Oracle NetSuite, Apigee, Digital Integration, Data Management & Analytics, Digital Assurance, Extended Engineering Services , AI/ML, Business Process Automation, and TIBCO.
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Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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Familiarity with data governance best practices. The Senior Data Engineer position will report to the Manager of Data Platforms & Analytics Engineering. Set up and maintain data infrastructure using Ansible and Terraform, implementing monitoring and logging solutions to ensure system reliability and performance.
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Guide engineering teams in the design and development of commerce applications, with specific emphasis on Shopify, Sales Force Commerce Cloud, and Big Commerce. Over the last decade, Trove has equipped leading brands with technology and operations to create and scale branded resale programs by enabling customer trade-in of items, single-SKU identification and condition grading, site build and maintenance, and customer data collection, analytics and reporting.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics.
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As a data architect, you will focus on the big picture of an organization’s data strategy. Enforce data ingestion, integration, and access patterns to support both real-time and batch-based consumer data needs.
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big data governance integration jobs Title: data engineer in San Francisco, CA
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