Design, develop, optimize, and deploy high-performance Spark/Scala data processing applications and ETL pipelines using the Cloudera Hadoop ecosystem. Collaborate with analysts and data scientists, ensure data integrity and security, troubleshoot performance, and implement version control and CI/CD for production Spark workloads.
Key Responsibilities:
- Develop, test, and deploy data processing applications using Apache Spark and Scala.
- 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 12+ 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 52,000
Maximum Compensation: USD 184,000
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
Cloud • Information Technology • Security • Software • Cybersecurity
Lead end-to-end execution of Tier 1 marketing launches and maintain launch calendar, documentation, and trackers. Optimize rapid response programs and coordinate cross-functional contributors for high-quality, timely activations. Partner with Revenue Marketing, PMM, Sales Enablement, PR, and social to align demand generation and enablement. Manage content for Zenith Live and support major industry events.
Top Skills:
Ai/MlEnterprise SecurityNetworkingZero Trust
Automotive • Big Data • Insurance • Software • Transportation
Lead data analyst responsible for advanced analytics, real-time performance dashboards, network capacity modeling, and generating actionable insights for third-party service providers. Drives testing and pilots, analyzes stakeholder feedback, and serves as an internal analytics subject-matter expert to inform network strategy and operational improvements.
Top Skills:
BiCrm ToolsGoogle WorkspaceRelational DatabasesSQL
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead data strategy and product roadmap for CDP, identity graph, and real-time GTM data infrastructure. Enable personalization, attribution, and AI/ML-driven revenue decisions by setting integration standards, enforcing data quality SLOs, and architecting privacy/compliance frameworks to support marketing and revenue teams at scale.
Top Skills:
Adobe AemAdobe Customer Journey Analytics (Cja)Adobe SuiteCdpDemandbaseHubspotKafkaMarketoMicrosoft DynamicsSalesforceSnowflakeTreasure Data
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
