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We're looking for a Senior Software Engineer passionate about tackling big data challenges in the next-generation data clouds. 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.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Total Talent Solutions, Workforce Solutions, Contingent Workforce Solutions, Outsourcing & Consulting, Tech Consulting Services, Independent Contractor Services, Software Engineering Solutions, Technology Staffing & Solutions, Customized Training and Talent Development, Project-Based Services, Cloud Enablement and Migration, IT/Software Development, UX Design, Data Science, Product & Program Management, Data Science, Quality Engineering, Big Data Services, Automation, and Telecom.
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In the Data Engineering team, we help Walmart manage this data by building pipelines and data lakes to prepare big data for analysis and unlocking actionable insights in real-time.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Enterprise data services, enterprise data integration, data virtualization, web integration, web automation, unstructured data, virtual database, real-time data, cloud integration, big data integration, Data Warehouse, Agile BI, Logical Data Warehouse, data governance, self-service BI, data analytics, machine learning, artificial intelligence, Data Integration, Data Fabric, Data Governance, data mesh, and data management.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Hands-on Experience in Big Data and cloud technologies tools, i.e. Hadoop, Hive, Iceberg, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. Design and build data architecture for data science projects using big data technologies.
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Data engineering, database engineering, business intelligence, or business analytics, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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Connect our production backend / data to business systems including salesforce, marketo, intercom, google analytics, metabase, etc. Innovate, design, and build data systems, services, and tools using GCP (Google Cloud Platform) that scale with OneSignal’s products and business requirements.
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The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
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If so, Apple's Global Business Intelligence (GBI) team is seeking an experienced Software Engineer to build high quality, scalable and resilient distributed systems that power Apple's analytics platforms and data pipelines.
$170,700 - $256,500 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Expertise with efficient data manipulation techniques with various data mining and machine learning methods applied to “Big Data”, data with large volume, high velocity, high variability, and changing definitions.
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Experience handling big data, including exposure to distributed data and compute (e.g. Hadoop, Spark, Hive, MapReduce, Databricks), and traditional data query & manipulation (e.g. SQL, NoSQL, Databases.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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We believe that life science product development can be accelerated with industrial strength software platforms to generate, prepare, process and utilize large and complex multi-modal molecular datasets using the best-in-class ML and data science practices.
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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,Presto,Trino. Experience with modern data architecture like data lakes, data lakehouse and cloud computing platforms like AWS, Google Cloud.
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Strong understanding of computer science and software engineering fundamentals, especially data engineering and infrastructures, ETL processes, data integration, and database design.
Full-timeExpandApply NowActive JobUpdated 9 days ago
big data jobs Title: big data software engineer Company: Perficient in Menlo Park, CA
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Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.