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Backend: Ruby (Rails), Typescript, Elixir (Phoenix), and Python. We offer a meditation room, game room, library, podcasting studio, art studio, kids room, and a full maker space equipped with 3D printers, presses, laser cutters, sewing machines, and more.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Experience coding and building applications that use one or more top frameworks (React, Vue, Spring, Django, Entity, Ruby on Rails, Langchain, etc ) - and the confidence to do a lightweight coding interview with one of our engineers.
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Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Experience with data processing frameworks and tools like Apache Spark (including Databricks), and Hadoop and knowledge of database technologies like SQL databases (e.g., MySQL, PostgreSQL.
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You will work closely with the Senior Data Architect who oversees our infrastructure (AWS, Databricks, Tableau) and data pipeline development; the Fundraising Data Manager who will turn these datasets into dashboards and insights; and fundraising stakeholders who will use these insights to raise more money for recipients.
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Hands-on experience with a modern data analytics stack (e.g. BigQuery, dbt, Looker, or comparable tools). We’re looking for a curious and collaborative Data Analyst to join Fora. You will be joining as the first Analyst on a centralized Data team that collaborates across all departments at Fora, including Product & Engineering, Growth & Marketing, Sales, Advisor Experience, Finance, and Operations.
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Good working knowledge of data warehousing platforms (such as Snowflake, Redshift, etc), cloud computing (such as AWS), and ETL/data pipeline technologies (such as Airflow, DBT) You will work with large data sets (trillions of rows and hundreds of TB of data) using a modern tech stack centered on AWS, Airflow, DBT, and Snowflake.
$130,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Onboard data by working with different sources/stores of data (OneTick, CQG, ICE, Bloomberg, Refinitiv, etc. This is a computationally intensive role that will allow you to utilize your software engineering, data engineering, analysis and technology skills.
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Customs and Border Protection (CBP) offers those interested in a career in law enforcement an exceptional opportunity to work with an elite team of highly trained professionals whose camaraderie, pride, and purpose are hallmarks of their daily mission protecting America.
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What You Will Do : Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Familiarity with cloud data lake platforms such as Databricks, Snowflake, or Palantir Foundry. Guy Carpenter (GC), the global leader in reinsurance brokerages, is seeking candidates for a Forward Deployed Analytics Engineer on its Data Strategy team, based in the New York City office.
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Big Data certifications (e.g., Cloudera Certified Professional (CCP): Data Engineer, Databricks Certified Professional Data Scientist). Data Overseer: Lead the architectural design and optimization of robust, scalable data pipelines using SQL, Python, and cloud-based ETL tools such as Databricks.
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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.
$136,100 - $191,100 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Ensure compliance with relevant IT governance and data protection laws, policies, and best practices. Maintain reliable and scalable data management and backup. Experience as an IT administrator for Microsoft Azure (SharePoint, InTune, etc.
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Ruby on Rails (6. Experience with big data technologies like Trino, Spark, Hadoop, Airflow, Kafka. Experience with reliability engineering specifically in areas such as data quality, data observability and incident management.
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ruby rails data protection jobs in Little Ferry, NJ
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