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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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You will need to have previous experience working with Apache Spark applications, implementing big data applications for a variety of customers, programming skills, and familiarity with open source big data processing frameworks.
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Strong expertise in design and development on cloud data warehouses like Snowflake, Redshift, BigQuery and Big-Data platforms like Spark, Dremio, Hadoop, Hive. Apple is seeking an experienced, detail-minded data engineer to join our Worldwide Sales Team, Data Solutions & Initiatives (DSI.
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Experience with in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) You will identify possible options to address business problems within one's discipline through analytics, big data analytics, and automation.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery. In-depth understanding of GCP’s underlying architecture and hands-on experience with products like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs.
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The Arcadis Team is looking to add a Program Scheduler & Data Management Strategist professional to their Team. The ideal candidate would be very comfortable analysing large volume of data for one of Arcadis's key technology clients, but will also have deep knowledge working with program schedules for our fast moving data center construction program.
$135,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design and Build Big Data platforms using Hortonworks, Cloudera CDH, Apache Hadoop as a Data Storage and processing systems using Apache Spark and Presto Analytics Engine. Build high throughput data pipelines using Apache Kafka that enable sophisticated Catalog Azure/GCP Data Lake and ensure that all data transmission is secured and protected.
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As a Senior Lead Product Privacy Counsel, you will work remotely, reporting into our Privacy & Public Policy team and partnering with CrowdStrike’s Legal team in order to advise and guide our Engineering, Data Science, Information Security, Threat Intelligence teams, and other stakeholders to implement privacy-by-design principles into development of CrowdStrike’s products and professional services.
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Spot customers (including some of the most innovative enterprises and startups like Ticketmaster, Duolingo, and Broadcom) use our software to reduce the amount of human effort required to manage their cloud infrastructure for web applications, container workloads, big data processing, and more.
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Depth in pulling and blending data from Google Analytics, Adobe Analytics or Google Ads within a BI tool (Looker Studio, Tableau, PowerBI) Experience working with data taxonomy in a data management platform (DMP) / customer data plat form (CDP / CRM) - (EG; Adobe, Microsoft, Salesforce others.
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Design and implement reliable, scalable, robust and extensible big data products to support core products and business. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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Hands-on Experience in Big Data tools, using Hadoop, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. Hands-on big-data and analytics project management experience.
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$250Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Experience in analytics as it relates to Business Intelligence, Big Data Warehousing, Data Modeling, Data Integration, Data Governance, Data Observability tools.
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Experience with big data technologies (eg: Hive, Spark, Presto) Big Data Specialization. Architect scalable data models and construct high quality ETL pipelines that act as the backbone of our core data lake, with cutting edge technologies such as Airflow, DBT, Databricks, Redshift, Spark.
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big data jobs Company: Enterprise Mobility in Mountain View, CA
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