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Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ServiceNow, Citi Ventures, Dell Technologies Capital, DFJ Growth, IAG, Intel Capital, March Capital, Okta Ventures, StepStone, Ten Eleven Ventures, and Wipro Ventures.
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Experience with any of the following tools and technologies: Snowflake, Airflow, Python, AWS S3, AWS Lambda, AWS Batch, Terraform, Kafka, MySQL, Tableau, PagerDuty, DataDog, Jira, Confluence, Bitbucket, Alation.
$116,800 - $175,200 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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3+ years of experience designing and managing cloud database technologies such as Amazon RDS, Oracle Cloud, Snowflake, and MongoDB. Experience with Data Warehouse technologies such as AWS Redshift, Snowflake, Azure Data Warehouse, etc.
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Deep knowledge of modern data warehouse platforms (Snowflake, Databricks, Redshift, Azure Synapse) Hands-on independently and/or with Tech Leads, with Cloud-based technologies (i.e., Snowflake, Databricks), creating data pipelines and orchestration to integrate systems.
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This role requires strong technical background, hands-on experience in Informatica IICS, Databricks Python, ADF, snowflake and other Azure technologies along with data analysis skills and leadership abilities.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark, ) Implementing ETL processes, moving data between systems including S3, Snowflake, Kafka, and Spark.
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Experience in working with Cloud data warehouse like Snowflake, AWS Redshift, Azure Synapse or Google BigQuery. 7+ years experience in Data modelling, Business Architecture and developing Data warehouse solutions on OBIEE, Informatica, Snowflake environments.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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Proven experience in designing and implementing a full-scale Data Warehouse/Data Lake solution based on cloud databases such as Snowflake, Azure SQL Database, RedShift, etc. + Proven experience in designing and implementing data ingestion solutions on IICS (Informatica Intelligent Cloud Services), Snowflake, and/or Azure Data Factory.
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Experience with cloud-based data warehousing systems such as BigQuery and Snowflake. Experience using Snowflake. We are looking for an exceptionally awesome Associate Director, Data Science, to join our team here at ROI•DNA. This position reports to our Associate VP, Data Science & Behavioral Analytics.
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Preferably, relevant certifications in data architecture and related technologies (CDMP, TOGAF, GCP Professional Cloud Architect, AWS Certified Solutions Architect, Azure Solutions Architect, Snowflake SnowPro Core Certification, etc.
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At least 5 years of experience in working as Data Architect for Enterprise DWH and BI project for both on prem and cloud with minimum of 3+ years of hands-on experience in working on Snowflake/Databricks for DWH Development as Architect.
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Our team consists of domain experts in big data who have solved similar problems for companies such as Google, Vertica, Uber, Stripe, Facebook, Pure Storage, DBT, and Snowflake, and other thought leaders in the industry.
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Minimum 5 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse. Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Enforce best practices for data governance, data lineage, and metadata management within Snowflake. The ETL Developer will be focusing on maintaining and enhancing data ingestion pipelines as well as migrating of an existing ETL tool to Informatica PowerCenter and leverage cloud technologies like Snowflake.
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