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The candidate will work on building, scaling, and monitoring highly complex BigData platform on Databricks, Snowflake DB and ElasticSearch cloud. The candidate will work on building, scaling, and monitoring highly complex BigData platform on Databricks, Snowflake DB and ElasticSearch cloud.
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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
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Experience as the Databricks account owner, managing workspaces, Unity Catalog, audit logs, and high-level usage monitoring. Experience as Databricks workspace admin, managing workspace users and groups including single sign-on, provisioning, access control, and workspace storage.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The candidate will work on building, scaling, and monitoring Data science and ML hosting platform based on Databricks. Experience in strategizing and implementing Disaster recovery for BigData platforms based on Databricks.
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Hands-on experience and expertise in Advanced SQL, Advanced Python programming, AWS Services ( such as S3, Redshift, Glue ETL, IAM, DMS, Appflow,VPC and others), SnowFlake, FiveTran, KAFKA, Airflow, Oracle Cloud and other open source tools.
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That’s why customers like T-Mobile, BT, Snowflake, HubSpot, Exxon, Daimler, Medtronic, Hulu, Nasdaq, OpenTable, Huel, and Nationwide Building Society have turned to ThoughtSpot to transform their data driven decision-making cultures.
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Work with cross functional teams to establish Data governance, Data pipelining standards, client facing reporting enhancements and other analytical or data needs including integration with BI toolsAs a Staff Data Engineer, you can look forward to:● Being the shepherd in establishing Snowflake Governance across several business units.
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The ideal candidate has prior experience working the Data & AI space with expertise working with Tier 1 alliance partners such as Microsoft, AWS, Google, Salesforce, Databricks, SAP and Snowflake.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with Snowflake, Graph/Vector Database, MongoDB, Time Series Databases. The company provides real-time, cross-channel fraud prevention, anti-money laundering detection, case management and trading surveillance solutions that address such concerns as payment fraud, cybercrime, sanctions monitoring, market abuse, customer due diligence and insider trading.
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We leverage diverse technology stacks such as Snowflake, HANA, SingleStore, along with multiple processing and analytics tools and technologies. The Global Business Intelligence (GBI) org manages Apple’s enterprise data warehouse with petabytes of data, processes billions of rows of data to provide insights and enable informed business decisions.
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Experience using Spark, Presto, Flink, or Snowflake. Experience using Spark, Presto, Flink, or Snowflake. 5+ years professional experience in analytics, data science, data engineering, or software engineering.
$170,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with SQL development and data warehousing concepts (e.g. ETL/ELT)Effective written and verbal communication skillsExcellent teammate with a proven track record of success in a multi-functional team environmentTechnical leadership, self-direction, and willingness to both teach others and learn new techniques is highly desirableThe expected, full-time, annual base pay scale for this position is $115,000 - $130,000.
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Certification with one or more of the following platforms, tools Snowflake, AWS, GCP, Azure, SAP, Oracle, Collibra. Snowflake Exp Developer or Admin or Support with any cloud Experience with excellent process knowledge in any of the following areas: Finance, Supply Chain, Marketing, Sales, and Customer Service.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more.
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Required Technical Skills/Competencies - Databricks, SQL, Python, Snowflake, Relational Database Structures, Data Analytics/Data Mining Tools. Required Technical Skills/Competencies - Databricks, SQL, Python, Snowflake, Relational Database Structures, Data Analytics/Data Mining Tools.
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snowflake warehousing jobs in Mountain View, CA
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