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The Core Data & Services for the Data organization within the DEET organization is in search of a Senior Data Engineer. Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow.
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What you'll bring to Circle: For Senior Data Engineer (III) 4+ years of professional data engineering experience. Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
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We're looking for an experienced Sr. Data Engineer with strong data analytics and engineering skills to join our small and creative team. We value passionate, down to earth, “can do” people who enjoy fine-tuning small details, without losing sight of the big picture.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Dbt and AWS 'big data' technologies.
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In this capacity, the Senior Data Engineer designs and develops systems for the maintenance of the business’s data warehouse, ETL processes, and business intelligence. Design/Strategy: The Senior Data Engineer designs and supports the business’s database and table schemas for new and existing data sources for the data warehouse.
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As a senior data engineer, you bring your previous industry experience in infrastructure scaling to Jerry and lead the development of a new infrastructure solution that will continue to perform with great stability and efficiency even when the company grows 10x bigger.
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Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
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Cardlytics is seeking a Senior Principal Engineer, Data Infra to join our team, reporting to the Director Cloud & Data Infra. Data Infrastructure Landscape: In-depth knowledge of modern data infrastructure components, including cloud services, databases (SQL/NoSQL), big data processing frameworks (Spark, Trino or similar), and data management architectures (Hudi, Iceberg or similar.
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We are looking for an engineer with proven expertise in system architecture, microservices, and big-data processing and experience in building scalable solutions in the cloud environments.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
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Full Time] Founding Engineer: Data Infrastructure (Senior & Staff) at Tarsal (United States) | BEAMSTART Jobs. 5+ years of experience in engineering data solutions using big data technologies (Hive, Presto, Spark, Flink) on large-scale data sets.
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We're looking for a Senior Software Engineer with experience building low-latency, distributed data processing pipelines. (Full Time) Senior Software Engineer, Reporting and Data Warehousing at Tenjin (United States) | BEAMSTART Jobs.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Data EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Data Engineer. West Creek 3 (12073), United States of America, Richmond, VirginiaSenior Data Engineer (Python, Scala, or Spark)Do you love building and pioneering in the technology space.
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As a Senior Software Engineer at Tanium, you will be part of our Data Access and Integrations team where you would be part of a project that will be focused on creating and maintaining powerful tools for data pipeline and building up an API service that enables secure and efficient access to Tanium data that will impact all of the services we have.
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We’re looking for a seasoned Senior Data Engineer who can help us lay the foundation of an exceptional data engineering practice. The ideal candidate will be confident with a programming language of their choice, be able to learn new technologies quickly, have strong software engineering and computer science fundamentals and have extensive experience with common big data workflow frameworks and solutions.
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big data engineer jobs Title: senior data engineer in San Francisco, CA
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