Top Database Jobs in Ottawa

Lead the design and implementation of reliable data pipelines, data storage solutions, data modeling, and integration technologies. Manage specific data pipelines, optimize data processes, identify improvements, automate data processes, and collaborate with teams to articulate data strategies. Promote best practices in data engineering, cloud infrastructure, networking, and security.

The MySQL DBA will be responsible for ensuring the performance, integrity, and security of MySQL databases. Responsibilities include database planning, development, troubleshooting, monitoring, backup, recovery, disaster recovery planning, and providing 24/7 support for critical systems.

Database Administrator responsible for supporting various Canadian and US client applications, performing database migrations and upgrades, troubleshooting issues, and maintaining 99.99% availability for production environments.

Seeking a Senior Tech Lead for BI Applications to design, develop, and manage BI solutions, lead a team of engineers, and ensure scalability and reliability of data systems. Key responsibilities include managing BI tools, automating BI processes, ensuring data security, and standardizing management practices.

Avetta is seeking a Senior Data Analytics Developer with 5+ years of experience in analytics and databases to collaborate with Product Teams in creating innovative data analytics solutions.

Help customers with PostgreSQL database performance tuning, query optimization, and troubleshooting. Author blog posts, answer questions on forums, and host webinars for the open-source community. Remote role with opportunities for skill development and collaboration with a global team.

Design, develop, and implement ETL processes using Ab Initio platform. Strong understanding of data warehousing concepts, SQL, and Unix Shell scripting. Work on complex projects with robust data processing capabilities.

Rill Data is seeking a Data Engineering Lead who will have a direct impact on Rill and its customers by implementing the data infrastructure, leading a team of data engineers, and driving implementations of customer data pipelines. The ideal candidate will have experience in designing and managing enterprise-level database systems, working with high volume and high velocity data, and using tools like Python, Scala, SQL, Apache Flink, Apache Beam, Apache Spark, DBT, Airflow, Snowflake, BigQuery, Redshift, HIVE, and Apache Kafka.

Design and optimize data pipelines, work with various data sources, develop and deploy ETL processes, and improve data management processes in a data-driven environment.

Diagnose and troubleshoot performance problems and bugs in MySQL, MongoDB, PostgreSQL databases through source code analysis and debugging tools. Assist with bug verification, root cause analysis, and creating knowledge resources for the Support team. Engage with customers to gather information.

Automate manual processes through SQL and Python, design ETL solutions, analyze and extract data, create data visualizations, work with Google Analytics, and manage data infrastructure. Bachelor's or Master's degree in relevant field required. Must have 2-4 years of experience in digital marketing analytics.

As a Senior Customer Business Intelligence Engineer, you will deploy data models to customers’ data environments, optimize data warehouse, work with cross-functional teams, manage data products for customers, and identify technical investments.

Lead Data Engineer responsible for ETL activities, data modeling, and building data infrastructure to support decision-making and business process optimization. Collaborate with teams to deliver medium-high complexity initiatives aligned with IT Risk objectives. Own projects to elevate KRI reporting and be an expert on available data sets and tools.

Lead the design and development of a robust data architecture, serve as a data and analytics solution architect, establish standards for data modeling and integration, work on batch and real-time streaming infrastructure, collaborate with cross-functional teams to design data solutions, and improve customer satisfaction for internal customers.

The Sr BI Engineer is responsible for developing visual analytics solutions to enable faster decision-making. They work closely with data engineers and business analysts to deliver strategic analytics projects and maintain data standards. The role requires expertise in Tableau, Power BI, SQL, PL/SQL, and QuickSight, with a focus on visual design principles and end-to-end testing of dashboards.

Seeking a Senior Analytics Engineer to lead the transformation layer of a data platform at a fast-growing fintech company. Responsibilities include developing scalable patterns, ensuring data discoverability, and collaborating with various teams. Must have 3+ years of experience in data engineering or analytics, expertise in SQL and Python, and strong relational database skills.

Design, develop, implement, and support data solutions and integration frameworks within Telesat. Ensure secure seamless data storage, flow, and communication. Collaborate with stakeholders and project team members to plan integration projects. Test, troubleshoot, and monitor integration solutions to ensure compliance with data governance and security policies.