Design and architect large-scale distributed data solutions using Spark and Cloudera CDH. Build and optimize ETL pipelines, ensure data integrity/security, troubleshoot performance, and implement version control and CI/CD for Spark applications while collaborating with data scientists and stakeholders.
Key Responsibilities:
- Architect and design large-scale, distributed big data solutions using Java and big data technologies to handle high-volume data processing and analytics.
- Optimize and tune Spark applications for better performance on large-scale data sets.
- Work with the Cloudera Hadoop ecosystem (e.g., HDFS, Hive, Impala, HBase, Kafka) to build data pipelines and storage solutions.
- Collaborate with data scientists, business analysts, and other developers to understand data requirements and deliver solutions.
- Design and implement high-performance data processing and analytics solutions.
- Ensure data integrity, accuracy, and security across all processing tasks.
- Troubleshoot and resolve performance issues in Spark, Cloudera, and related technologies.
- Implement version control and CI/CD pipelines for Spark applications.
Required Skills & Experience:
- Minimum 15+ years of experience in application development.
- Strong hands on experience in Apache Spark, Scala, and Spark SQL for distributed data processing.
- Hands-on experience with Cloudera Hadoop (CDH) components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop.
- Familiarity with other Big Data technologies, including Apache Kafka, Flume, Oozie, and Nifi.
- Experience building and optimizing ETL pipelines using Spark and working with structured and unstructured data.
- Experience with SQL and NoSQL databases such as HBase, Hive, and PostgreSQL.
- Knowledge of data warehousing concepts, dimensional modeling, and data lakes.
- Ability to troubleshoot and optimize Spark and Cloudera platform performance.
- Familiarity with version control tools like Git and CI/CD tools (e.g., Jenkins, GitLab).
Compensation, Benefits and Duration
Minimum Compensation: USD 64,000
Maximum Compensation: USD 225,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Similar Jobs
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Field-driven territory sales role responsible for full-cycle, self-sourced selling: prospecting, in-person demos, closing deals, building pipeline and partnerships, onboarding coordination, and maintaining Salesforce pipeline and forecasts. Spend most of the week in-market, hit weekly visit targets, and exceed quota across Square's product ecosystem.
Top Skills:
Salesforce
HR Tech • Information Technology • Professional Services • Sales • Software
The role involves supporting customers with benefits administration issues, troubleshooting complex problems, and collaborating with multiple teams to improve product functionality and customer experience. Candidates should have a strong background in US benefits administration and exceptional problem-solving skills.
Top Skills:
APIsAsanaJIRASaaSSalesforceZendesk
Security • Software • Cybersecurity • Automation
Lead and scale an enterprise Customer Success team for high-touch SaaS customers. Build CS processes, drive retention and expansion, manage escalations, collaborate cross-functionally, monitor performance metrics, and use data to improve outcomes for strategic accounts.
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
