Design and architect large-scale distributed big data solutions and ETL pipelines using Java, Scala, and Spark. Build and optimize Spark applications on Cloudera CDH (HDFS, Hive, Impala, HBase, Kafka). Ensure data integrity, troubleshoot performance issues, and implement version control and CI/CD for Spark workloads while collaborating with cross-functional teams.
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).
Similar Jobs
Financial Services
Sell payment products and services within an assigned territory by prospecting, qualifying, and closing new clients and expanding existing relationships. Manage a sales pipeline, deliver tailored presentations and proposals, document activities, report on performance, and provide post-sale follow-up. Travel locally for client meetings.
Top Skills:
Chase Payment SolutionsCRM
Cloud • Security • Software • Cybersecurity • Automation
Build and maintain backend AI capabilities for GitLab Duo Chat: design flow components and agentic flows in Python/LangGraph, integrate LLMs and multi-agent orchestration, implement and maintain APIs in the Rails monolith, improve observability and reliability, and participate in on-call rotations and cross-functional collaboration to deliver safe, scalable AI chat features.
Top Skills:
Agent FrameworksGraphQLLangchainLanggraphLarge Language ModelsMulti-Agent OrchestrationPostgresPytestPythonRestRspecRuby On RailsSQLTool/Function Calling
Cloud • Security • Software • Cybersecurity • Automation
Design, build, and maintain People systems automations and integrations (Workato, Workday, Greenhouse, Slack) using production-quality code. Improve CI/CD, reliability, observability, and AI-driven automation (Claude, MCP). Serve as technical lead for People Technology, partner with stakeholders, and drive scalable, maintainable automation solutions.
Top Skills:
ClaudeDockerGitGitlabGkeGoogle Cloud Platform (Gcp)GreenhouseKubernetesLlmsModel Context Protocol (Mcp)PHPPythonRubySlack ApiSlack Bot SdkWorkatoWorkdayWorkday Web Services (Wws)
What you need to know about the Ottawa Tech Scene
The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.
