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Big data and distributed systems (Spark, Databricks, Athena) Applying big data solutions to national security problems [Link] Data & Storage – S3, Athena, PostgreSQL, Elasticsearch/OpenSearch, Dynamo, Redshift, MongoDB.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) 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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Our Content Engineering team is seeking a highly hardworking Data Engineer with a strong technical background and passionate about diving deeper into Big Data to develop state of the art Data Solutions.
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Technical Proficiency: Expertise in SQL and programming languages such as Python; familiarity with big data technologies like Apache Hadoop, Spark, and Kafka. Professional Experience: At least 5 years of experience in data engineering, with a strong focus on data integration and pipeline construction in cloud environments and enterprise data warehouses like Snowflake.
$134,500 - $215,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Scientists have a robust understanding of key concepts such as big data, advanced analytical techniques, data storytelling, and sophisticated modeling techniques. Expertise with at least one data visualization tool, preference: PowerBI. Proficiency in Machine Learning, Statistical and Reporting tools (Databricks, Python, R, SQL, PowerBI.
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Experience with big data technologies(e.g. Apache Hadoop, Spark, Kafka, Flink) and working with terabyte to petabyte scale data. Snowflake, Databricks, BigQuery) and modern business intelligence/data stack.
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Provide advisory and implementation services of large-scale data ecosystems, including data management, governance and the integration of structured and unstructured data to help companies unlock the value of big technology investments.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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To contribute to the mission of system transformation and racial equity in workforce development by supporting our data integration, transformation, and visualization efforts. Knowledge of Cloud Infrastructure and services including Azure Data Factory(ADF), Azure Synapse, Power BI and Azure Data Lake storage.
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Experience with big data technologies (e.g., Hadoop, Spark) and cloud services (e.g., AWS, Azure, Google Cloud Platform). Experience with data warehousing solutions (Snowflake, Databricks), feature stores, ETL tools (Airflow, Mage AI, DBT etc), and data modeling practices.
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Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc.
$139,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
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Knowledge of Snowflake, AWS, Kafka, Airflow, Data Dog or similar big data technologies. Leading Data Operations Team: Oversee the data operations team responsible for resolving incidents and issues in data ingestion feeds, master data management, reference data management, Cloud Data Warehouse and data products.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Build big data pipelines and analytics infrastructure on Azure with Data Factory, Databricks, Event Hub, Data Explorer, Cosmos DB and Azure RDBMS platforms. Proficiency in big data processing in Apache Spark with Python or Scala.
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big data jobs Company: Teksystems in Bellevue, WA
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