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6+ years of experience in data engineering working with big data systems that can process and transform data at scale. The Role: Staff Data Engineer. Experience developing with data SaaS and BI tooling (Fivetran, Looker, dbt, Databricks, Apache Airflow, etc.
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Running and tuning queries in databases including Big Query, SQL Server, Data Management - including running queries and compiling data for analytics. Building Big Data pipelines for operational and analytical solutions.
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Demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
$136,032 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Big Data frameworks (e.g. Hadoop MapReduce, Spark, Hive, Kafka) Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Performance Tuning of Big data Hadoop Platforms ( Cloudera , Horton work ). Performance tuning of Cloudera/Horton work big data platforms. Strong experience in Cloudera/Horton work Big data platforms.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Active Google Cloud Data Engineer Certification Hands on in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python, Pyspark, Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
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Develop and optimize big data pipelines using Apache Spark ( Pyspark ) to handle large-scale data processing and analysis. The ideal candidate will possess extensive experience in creating, managing and optimizing data engineering pipelines using Databricks and associated technologies.
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As a lead big data engineer at Booz Allen, you’ll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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You will lead a team with a wide range of technical skills which include ETL tools, Python and Big Data, Cloud Data Engineering like HIVE, Spark, BigQuery, Snowflake and data analysis and modeling skills (SQL, ERwin.
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The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Solution IT Inc. is looking for Senior Data Engineer for one of its Direct clients in Glendale, CA (Hybrid) Job Title: Senior Data Engineer. We're looking for a Sr. Data Engineer to help us grow the impact of our team.
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Bachelor’s degree plus at least 7 years in a data engineering role including ETL development, database development, data integration, data mining, big data. The Senior Data Engineer will work with our data warehousing team to transform transactional data into datasets that are consumable by a variety of consumers, for reporting and analytics.
$138,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience handling large datasets and big data technologies, ideally cloud-based (e.g., Snowflake, Databricks) Engage in activities including data requirements gathering, source-to-target mapping, data validation scripting and review, and developing and monitoring ETL/ELT data pipelines.
$90 an hourExpandApply NowActive JobUpdated Today
big data jobs Title: senior data engineer Company: Kroll
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