Senior Java Big Data Developer with 8+ years building applications on Cloudera/Hadoop ecosystems using Spark and MapReduce. Responsible for designing performant Java (1.8+) solutions, data analysis of large datasets, unit testing (JUnit), and collaborating with/managing global technology teams. Preferred skills include Unix/Python scripting and familiarity with Hive, Impala, YARN, and Kafka.
Qualifications
- Minimum 8+ years of relevant experience in applications development
- Expertise in Bigdata ecosystem (Cloudera Distribution) using spark and Map Reduce
- Java (core) 1.8 or above - Hands-on experience (advanced concepts of data structures, memory management and design patterns)
- Apache Spark - Hands on (preferable on Java spark)
- Bigdata ecosystem (Good understanding of Hadoop, preferable cloud era distribution), exposure to Hive, Impala, Yarn, Kafka
- Good Data analysis and programing skills and understanding of large datasets (no sql joins)
- Good knowledge of Java and spark architecture and design principles
- Good experience in Junit/Testing frameworks
- Unix/Python shell scripting experience is a big plus
- Experience managing global technology teams
- Working knowledge of industry practices and standards
- Good communication skills
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Sell SaaS licenses and generate new business through account and territory planning, prospect research, and field sales. Build C-suite relationships, lead cross-functional account strategies, advise on IT roadmaps and AI integration, identify specialists to win deals, negotiate contracts, and meet sales targets. Role requires travel and collaboration with solutions, success, partners, and marketing teams.
Top Skills:
AISaaSServicenow
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Lead end-to-end COGS and gross margin analysis across hardware and software product lines. Build scenario models, quantify cost-saving opportunities, and present defensible recommendations to C-suite. Tackle ambiguous executive questions, partner with data engineering, finance, and product to establish reliable datasets, and drive analytical best practices and documentation. Operate autonomously with high ownership.
Top Skills:
SQL
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, develop, debug, and test cloud-connected firmware features (C/C++ and Go). Support and scale IoT device fleet, build observability and rollout metrics, triage customer/QA issues, and collaborate cross-functionally to deliver production-ready firmware.
Top Skills:
BuildkiteC++CanCan-UtilsDatabricksGoGraphQLLinuxLinux DriversLteSocUsbWifi
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
