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3 or more years of relevant technical experience in AWS + Big Data (Cloudera) technologiesDesign, develop, and maintain end to end data solutions using open source, modern data lake, and enterprise data warehouse technologies (Hadoop, Spark, AWS Cloud, etc.
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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). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Implement the data analysis pipelines using standard Big Data technologies (Spark, Airflow) Opportunity to expand your knowledge of data engineering tools and platforms using state-of-the-art tech stack.
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Big Data Technologies: Proficiency in big data technologies and frameworks such as DBT, Airflow, etc., to handle large-scale data processing and analysis. Cloud Computing: Knowledge of cloud services (GCP BigQuery, dbt) and understanding of how to leverage them for data processing and storage solutions.
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Experience with big data and workflow management technologies like Hadoop, Spark, Redshift, Athena, Airflow, etc. Data platform: Hadoop, Hbase, OpenSearch, Kafka, Spark, Flink, Go, Java, SQL, Databricks, Snowflake, BigQuery.
$145,000 - $190,000 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode; Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
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Conduct in-depth risk assessments for Big Technology companies to identify potential risks in the areas of content and activity moderation, consumer data protection, competition, policies and other mechanisms to counter harm, responsible product/service design, data governance and protection and trust and safety and develop and execute controls testing plans, assessing the adequacy and effectiveness of internal controls in mitigating identified risks.
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Healthcare experience isn't required, but if the following terms mean something to you, that's a big plus: FHIR, SMART on FHIR, HL7, EHR, EMR, HIE, NPI, etc. We help digital health companies access and manage user health and medical data, through our open-source, universal API.
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In depth expertise with streaming data components Kafka, Spark, Flink Hadoop, Presto/Trino, RedisDemonstrated leadership, mentoring, and collaboration skills balancing strategic and tactical needs.
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Familiarity with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch) for analyzing Earth observation data in the context of carbon monitoring and climate analysis is advantageous.
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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. You ideally have a background in data engineering and should be just as comfortable making architectural decisions as implementing them in code.
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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
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Proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL) and data warehousing solutions (e.g., Redshift, BigQuery). Experience with data visualization tools such as Tableau, Looker, or Power BI, and proficiency in data manipulation and visualization techniques.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks.
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big data jobs Title: hadoop consultant Company: Dice in San Francisco, CA
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