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We utilize cutting-edge machine learning and contract software, enhancing traditional legal services and bringing together experts in engineering, AI, and law. Extensive Python/React hands-on experience.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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3+ years hands on experience with GIT, Orchestration & CI/CD process, especially in data engineering, 3+ years hands on experience working in an Azure environment Experience with Data warehouse/ data lake/ data hub modeling.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands on development experience and understanding in designing and developing data processing patterns to simplify the complexity of real-world data engineering architecture.
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Experience with cloud platforms like AWS, Azure, or GCP, focusing on data engineering services. Hands-on experience with Databricks and its ecosystem (Spark, Delta Lake.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog. Extensive hands-on experience implementing serverless real-time/near real-time architecture using Cloud native services (i.e., Azure, AWS or GCP Tech Stack), and Spark technologies (e.g., Spark Streaming, Spark ML.
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BS degree in Linguistic, Data, or Business Operations/Management related fields (E.g. Linguistics, Applied Linguistics, Computational Linguistics, Data Engineering, Data Science, etc.
$142,800 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.
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Experience in building highly performant and scalable data ingestion pipelines, and hands-on experience with cloud-based big data technologies such as Spark, BigQuery, and Azure Data Lake Analytics.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Work with an agile team to deliver and evolve data engineering & services.
$187,415 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Hands-on experience with data visualization tools (Tableau, Power BI) and statistical analysis tools (R, Python). If you are passionate about leveraging data to drive meaningful insights and have a proven track record in data engineering, analytics, and leadership we invite you to join us on this exciting journey.
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You will lead engagements around the design and delivery of innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Extensive hands-on experience with AWS ecosystem data services, including tools like DBT, Airbyte, Airflow, and AWS Glue, for data modeling, pipeline development, performance optimization, and ensuring data provenance.
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Hands-on production experience with orchestration systems such as Airflow. 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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data engineering services hands on jobs Company: Dice in New York, NY
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