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Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow. Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
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One of our founders, Karthik, was a Dragon flight software lead responsible for two Dragon missions to the ISS. His team used SpaceX’s end-to-end data platform before, during, and after every Dragon mission.
$150Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Data Extraction/Integration Engineer will also construct ETL Pipelines within Google Cloud Platform tools and Google BigQuery. Experienced with Google Cloud Platform and Google BigQuery and establishing efficient ETL data pipelines.
$160,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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High familiarity with data platforms and applications such as: Databricks, Jupyter, Snowflake, Redshift, Airflow. Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
$102,500 - $137,500 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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ETL/Data Migration Role: Informative, DBT, Teradata, Snowflake. · Experience in ETL and Data Warehouses, including one or more of Informatica, DataStage, or SSIS ETL tools and one of Oracle, Teradata, Netezza, DB2, or SQL Server.
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Various disciplines are involved in Enterprise Data & Analytics, including data source identification and analysis, data engineering, data visualization, and data science/machine learning.
$75,000 - $92,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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One of our founders, Karthik Gollapudi, was a Dragon flight software lead responsible for two Dragon missions to the ISS. His team used SpaceX’s end-to-end data platform before, during, and after every Dragon mission.
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The Disney Direct-To-Consumer (DTC) Sports Analytics team is looking for a Data Analyst who will help to measure, understand, and take action on key rights deals and audience behavior that impacts the sports portfolio of The Walt Disney Company.
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Position Description :As the Facilities and Data Center Technician IV, you must possess an expert level of knowledge and will be responsible for the operational integrity and regulatory compliance of the facilities and data center electrical, mechanical, fire life safety systems, and communications infrastructure.
$85,000 - $95,000ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Shift between data sources and tools for different projects, which may include BigQuery, Data Studio, Tableau, Domo, Python, Google Analytics, Excel, and other in-house data structures.
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We are hiring a Multilingual Quality Control Specialist/ Senior Multilingual Data Annotation Specialist responsible for conducting annotations and quality control (QC) on videos, images, and metadata for YouTube, TikTok, Facebook, and other social media content.
$70,000 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g. SparkSQL, BigQuery, Snowflake, Databricks) Proficiency in building data models and pipelines using orchestration software (e.g. Airflow, dbt.
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Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
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Master's degree in Student Affairs, Higher Education Administration, statistics, data analysis, or related field is preferred. Familiarity with software and tools common to large-scale data collection, assessment and evaluation, statistical analysis, and data visualization: Qualtrics, SPSS, R, Excel, Tableau, D3, Plotly, etc.
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Professional experience in ML Ops, data engineering, or DevOps with a focus on machine learning systems. The ideal candidate will be instrumental in bridging the gap between machine learning development and production operations, optimizing the machine learning lifecycle from data preparation to model monitoring and retraining.
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