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Learn about Big Data architecture via technologies such as AWS, DataBricks and Kafka. As an Engineer focused on Data for Square Banking, you will help us build our own Square Banking Financial Data Mesh Platform, using real-time Big Data technologies and Medallion architecture.
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Experience with big data and workflow management technologies like Hadoop, Spark, Redshift, Athena, Airflow, etc. The Data Platform team is responsible for ingestion of tens of thousands of events per second, data Lakehousing (Databricks), OLTP stores (Hbase, OpenSearch) and APIs. The customers of the Data Platform are the internal business units who use it for data engineering, AI/ML, and Business Intelligence.
$145,000 - $190,000 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Specific knowledge of platforms and technologies including SaaS (such as Salesforce.com, ServiceNow), Cloud Hosting (Azure, AWS), ERP Platforms (such as Oracle), Integration and integration frameworks, Business Intelligence & Analytics, Big Data, Reporting and Visualization, Document & Contract Lifecycle Management, Energy Systems and Energy Operations, Construction and Project Management Platforms, RPA, Gen AI, etc.
$137,000 - $186,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4+ years of professional experience as a data scientist in the SaaS industryWorking knowledge of Unix command-line/shell and gitExperience deploying models in a production environment, ideally with Databricks.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) 5+ years of experience as a Machine Learning engineer building production-level pre/post-processing data pipelines for ML/DL modelExperience in statistical analysis & visualization on datasets using SQL, Pandas or R.
$160,000 - $280,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. What you'll work on: Collaborating with business teams on the design, deployment and continuous improvement of the scalable data platform that ingests, stores, and aggregates various datasets, including data pipelines, platforms, and warehouses, and surfacing data to both internal and customer-facing applications.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Our services span data governance, data quality strategies, data management architecture, master data management strategy and implementation, analytics and big data.
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Guide engineering teams in the design and development of commerce applications, with specific emphasis on Shopify, Sales Force Commerce Cloud, and Big Commerce. Over the last decade, Trove has equipped leading brands with technology and operations to create and scale branded resale programs by enabling customer trade-in of items, single-SKU identification and condition grading, site build and maintenance, and customer data collection, analytics and reporting.
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Experience with big data processing technologies and databases, such as Apache Beam, Hadoop, Spark, Kafka, Pub/Sub, Dataflow, BigQuery or Bigtable. We leverage each other's strengths to accomplish big goals together.
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Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications. You ideally have a background in data engineering and should be just as comfortable making architectural decisions as implementing them in code.
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Work with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS. 6+ years’ experience working within the AWS Big Data/Hadoop Ecosystem (EMR, Glue and Athena.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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We're looking to hire a Data Scientist to take the lead on advanced analytics and predictive modeling to serve the needs of our business today and for a broader scale years from now. We're looking to hire a Data Scientist to take the lead on analysis and metrics to inform our product and business.
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Enterprise Applications, Mobility / Collaboration, Big Data / Business Intelligence, Staffing Services, Cloud Solutions, Quality Assurance, Web Solutions, Digital Transformation, Product Engineering, talent solutions, Technology Solutions, Digital Product Engineering, Digital Enterprise, Snowflake, Oracle NetSuite, Apigee, Digital Integration, Data Management & Analytics, Digital Assurance, Extended Engineering Services , AI/ML, Business Process Automation, and TIBCO.
$52 - $77 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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1+ Years experience with big data technologies such as Spark, Hadoop, BigQuery, or Redshift. AssemblyAI is a remote-first AI company building powerful deep learning models for developers, startups, and enterprises to transcribe and understand their audio data.
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big data jobs Title: business analyst Company: Kforce Technology in San Francisco, CA
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