Senior Oracle Developer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Oracle Developer based in Canada.

This role offers an opportunity to contribute to complex data-driven technology initiatives by designing, developing, and optimizing enterprise database solutions. The successful candidate will work on impactful projects involving Oracle technologies, data pipelines, and modern data platforms. You will collaborate with technical teams to translate business requirements into scalable solutions while ensuring data quality, security, and performance. The position requires strong expertise in database development, SQL optimization, and data engineering practices. Working in a remote-first environment, you will collaborate with global teams and contribute to innovative solutions for leading organizations. This is an ideal opportunity for an experienced developer passionate about building reliable data systems and mentoring others.

Accountabilities:: The Senior Oracle Developer will design, develop, and maintain advanced database and data engineering solutions while collaborating with cross-functional teams to deliver high-quality technology outcomes. This role will focus on database performance, data integration, automation, and continuous improvement of enterprise data workflows.

Analyze business requirements and translate them into effective technical solutions.

Develop, implement, and maintain Oracle database solutions, stored procedures, and optimized SQL queries.

Perform debugging, root cause analysis, and troubleshooting to resolve complex technical issues.

Design, build, and maintain batch and real-time data pipelines for production environments.

Develop ETL/ELT processes to extract, transform, and manage data from multiple sources.

Automate data workflows, including ingestion, aggregation, and processing activities.

Ensure data accuracy, integrity, privacy, security, and compliance through quality control practices.

Manage versioned data pipelines and support change management processes.

Collaborate with engineering teams to improve data architecture and system performance.

Provide technical guidance, mentorship, and knowledge sharing to junior engineers.

Support the implementation of modern data platforms, including cloud-based data lake and warehouse solutions.

Requirements:

The ideal candidate is an experienced Oracle and data engineering professional with strong technical expertise, analytical capabilities, and the ability to solve complex problems in a collaborative environment.

Advanced expertise in Oracle Database, stored procedures, SQL optimization, and data analysis.

Strong experience with Oracle SQL, relational databases, and database design principles.

Proven experience with debugging, troubleshooting, and root cause analysis.

Hands-on experience developing ETL/ELT processes and managing data pipelines.

Strong programming skills in Python, including experience with Pandas, NumPy, and data-related libraries.

Experience working with cloud-based data platforms, data lakes, and data warehouse solutions.

Experience with data visualization tools such as Tableau, Power BI, or AWS QuickSight.

Knowledge of cloud data engineering services across AWS, Azure, or Google Cloud Platform is an asset.

Experience with AWS services such as S3, Lambda, EMR, Glue ETL, Athena, RDS, Redshift, EC2, and IAM is an asset.

Experience with Azure services such as Azure Data Factory, Azure Synapse Analytics, ADLS Gen2, or Azure SQL Database is an asset.

Familiarity with big data technologies such as Spark, Hadoop, Hive, or MapReduce is a plus.

Excellent problem-solving, communication, organization, and collaboration skills.

Ability to work independently while contributing effectively within distributed teams.

Benefits:

Fully remote work environment with flexibility to work from locations across Canada.

Opportunity to collaborate with global teams on innovative technology projects.

Exposure to diverse industries, clients, and complex technical challenges.

Supportive culture focused on collaboration, professional growth, and continuous learning.

Opportunities to expand technical expertise across modern data platforms and cloud technologies.

Work-life balance initiatives designed to support employee well-being.

Access to a global professional community and knowledge-sharing environment.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1