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10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc. 10+ years experience in engineering data pipelines using data technologies (Python, pySpark, Airflow) on large scale data sets.
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Data center construction and engineering. Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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As an Engineering Manager, you will guide your team toward executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale. [Full Time] Engineering Manager, Data Platform at TRM Labs (United States) | BEAMSTART Jobs Engineering Manager, Data Platform.
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Our Data Products & Platforms organization is seeking a Governance, Risk & Compliance (GRC) Sr Software Engineer who will be an outstanding addition to our team. This role sits in the Data Products & Platforms organization within DX and as a Sr Software Engineer, you will report into the Sr Manager who oversees data GRC practices.
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We are a deeply mission-driven company, working hard to develop tech that revolutionizes teacher professional learning - and we’re looking for an Engineering Manager who wants to use their skills to power our mission.
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Work collaboratively with cross-functional partners including product managers, operations and data scientists, identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, drive engineering decisions and quantify impact.
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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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How you’ll make an impact:Lead and drive the development of data engineering technology and platforms for the company's data needs, ensuring their reliability, performance, and flexibility.
$181,000 - $241,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As the Principal Data Engineering Architect, you will oversee the strategy, architecture, development, and operation of Airwallex's data and AI platforms. Contribute to the design and development of standard framework modules, high-performance services, and client libraries for big data using tools like GCP, Databricks, BigQuery, DataProc, Kafka, Kubernetes, Spark, DataFlow, Google Cloud Storage, and Airflow.
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Familiarity with SQL, Python, R, and/or other coding languages for data analytics, data science and/or data engineering required. A successful candidate will have comfort and familiarity with a broad range of data analytics, analytics engineering, data science, and reporting tools and methods, as well as strengths in project management, change management, and communication among technical and non-technical stakeholders.
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The ideal candidate is expected to have a deep domain experience in developing and supporting financial research analytics platforms at scale, experience supporting highly technical business teams, strong cloud architecture and application development experience with a history of advancing data engineering capabilities.
$153,600 - $341,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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Familiarity with Information Governance technology ecosystem and how it supports Information Governance processes including: enterprise content / document management systems, records management systems, archival systems, legal hold management systems, mobile device management systems, communication surveillance applications, privacy compliance management systems, data discovery and scanning, etc.
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In this role, you will sit at the intersection of Data science, Engineering, and Product Management, & work collaboratively with different teams to transform data generated by our fleet of edge devices & other digital data into data products that provide actionable insights to our end customers.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
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data engineering governance jobs Title: senior machine learning engineer in San Francisco, Boynton-beach, Florida
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