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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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4 years of hands-on experience in designing and optimizing CI/CD pipelines with GitHub Actions, CircleCI, GitLab CI, or Apache Airflow; Do you have 4 years of hands-on experience in designing and optimizing CI/CD pipelines with GitHub Actions, CircleCI, GitLab CI, or Apache Airflow.
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2+ years of data engineering experience developing large data pipelines. As a member of the Data Capture team you will establish the foundational set of core platform frameworks and pipelines which are a vital key to success – enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
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Hands-on experience with VMs and container technologies (e.g., OpenStack, Docker, Kubernetes). Data-processing systems (e.g., Lambda architecture, Kafka, RabbitMQ, ELK). We commit to Trust by upholding the highest engineering and security standards for our network security posture.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands on experience with conjugation, purification and characterization of antibody drug conjugates, and experience using analytical techniques/instrumentation, including chromatographic techniques such as HIC (Hydrophobic Interaction Chromatography) and RP (Reverse Phase), SEC, SDS-PAGE, UV‐Vis. Bio-conjugation experience, protein biochemistry and Chemistry background Must be team player, adheres to timeline, communicative and collaborative.
$70.5Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will also regularly collaborate with People Operations, Finance, Data Engineering and IT teams on improving our data governance and enhancing our analytics capabilities.
$174,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate has technical acumen and hands-on knowledge of data engineering, Machine learning, and the major cloud platforms (AWS, GCP, Azure) If you are experienced in ML, data engineering, or data science and passionate about the success of your customers, this is an excellent opportunity.
$204,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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PowerBI less preferredMust Haves:Data warehousing fundamentalsAt least 1 cloud-based warehouse (Redshift, BigQuery, Snowflake)ETL (Python)Experience in ML Pipeline engineering. Need experience building ETL pipelines from NoSQL databases, MongoDB acceptable, but if they have used a less mature NoSQL such as Google Filebase that would be preferredExperience in Vector DB preferredNeed strong data warehousing and modeling fundamentalsAdvanced SQL skillsNeed experience with at least 1 BI tool: Tableau, Looker, etc.
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You must have a strong problem-solving background, hands-on testing skills, and preferably some experience with spacecraft and/or aerospace engineering. A passion for hardware development, including working in a fast-paced environment with hands-on design and development.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Software Engineer in Data Reliability Engineering, you will help build platform products that reduce cognitive load, abstract complexity, and create the necessary controls for safe database ownership at Xero.
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Familiarity with networking, data visualization, distributed systems, databases, container orchestration, or Ruby on Rails. Meraki’s engineering teams place a high emphasis on mentorship.
$130,000 a yearInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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More than 10,000 organizations worldwide – including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 – rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.
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Responsibilities:Architect and implement a cloud-agnostic IaC framework using tools like Terraform, Ansible, Pulumi, or similar, ensuring seamless integration across AWS, Azure, GCP, and our private cloud within our on-premises data centers.
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The Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy. Knowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue, AWS Lambda.
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The Bioinformatics Programmer/Data Scientist will assist in managing, cleaning, and analyzing large scale medical data using a wide variety of analytic techniques, both in the cloud and with on-premises compute depending on data permissions.
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data engineering hands on jobs Company: Agoda in San Francisco, CA
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