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Familiarity in developing distributed data processing and Streaming frameworks and architectures (Apache Spark, Apache Beam, Apache Flink)Familiarity with NoSQL database technologies.
$153,600 - $341,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Technical Proficiency: Expertise in web and data technologies such as Kafka, HDFS, Spark, EMR, Open Table Formats, Snowflake, Hive, HBase, Scylla, Django, and FastAPI. Big Data Technologies: Expertise in big data technologies and frameworks such as Spark, HDFS, and Hive.
$350,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery) Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.
$135,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink. By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes.
$236,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark, Apache Beam, or Apache Flink.
$210,000 a yearFull-timeExpandApply 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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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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Knowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue,AWS Lambda. Experience with data visualization tools such as Tableau, MixPanel, Google Looker.
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Collaborate closely with security, operations, development, networking, SD-WAN, and data center engineering teams to ensure smooth integration of IaC solutions with existing infrastructure and processes.
$300,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with graph querying tools such as Apache Tinkerpop Gremlin, Apache Spark Graphframes, or graph databases. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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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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Minimum requirements: Bachelor’s degree or equivalent in Computer Science, Computer Engineering, or Business Analytics, or a related field plus 1 year of experience in a data engineering role or in any occupation in which the required experience is gained.
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15+ years of progressively responsible engineering experience with 10+ years managing globally distributed high performing teams 10+ years hands-on Engineering and expert level understanding within the following technologies: Collaboration Tools: Microsoft 365 Platform & Apps: Teams, Office, SharePoint, LucidCharts Data Management and Analysis: PowerBI, Box, SmartSheets.
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A track record of designing and executing data science roadmap and delivering data products and insights that influence engineering and business decisions. This role will report to the Chief Technology Officer and be responsible for leading a team of data analysts and scientists.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Keywords: Water/Wastewater Engineer, Environmental Engineering, Clean Water, Safe Water, Resilient Water Supplies, Civil Engineering, EIT, FE, Professional Engineer, California, MS Office, ArcGIS, AutoCAD, WaterGEMS, InfoWater, InfoWorks ICM, InfoSWMM, Salary Range, Benefits, Bonuses, Tuition Reimbursement, Collaborative Team, Diverse, Inclusive, Confidential.
$120,000ExpandApply NowActive JobUpdated Today
data engineering apache spark jobs Title: developer in San Francisco, Boynton-beach, Florida
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