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Python Developer – Databricks
LinkedIn Recruiter Post
Seeking Python developers for remote contract roles to build scalable data pipelines with Databricks and PySpark for a financial client.
About the role
- Développeur(euse) DataOps Senior chez Upgrade, gérant les bases de données PostgreSQL pour les systèmes financiers. Axé sur l'excellence opérationnelle et la performance dans un environnement de production à haut débit.
Responsibilities
- Operate and maintain highly available PostgreSQL databases on AWS RDS supporting mission-critical financial systems
- Safely execute complex SQL operations in production environments with a zero-downtime approach
- Monitor database health and performance using CloudWatch, Grafana, and observability tools
- Analyze query performance and implement optimizations, including indexing, partitioning, and schema improvements
- Provide support and troubleshoot data replication and synchronization pipelines using tools such as AWS DMS and Fivetran
- Manage and prioritize database-related operational requests during Eastern Time business hours
- Participate in a shared on-call rotation to support critical production systems
- Collaborate with data engineering and platform teams to ensure the reliability of downstream data pipelines and analytics systems
- Contribute to operational standards and procedures to improve performance, scalability, security, and data integrity
Requirements
- More than 5 years of experience operating production PostgreSQL OLTP databases
- Strong experience administering PostgreSQL on AWS RDS
- Excellent proficiency in SQL query execution and optimization, indexing strategies, table partitioning, and schema design and evolution
- Experience with PostgreSQL replication and backup strategies
- Hands-on experience with database upgrades, patching, and restoration
- Strong troubleshooting and incident management skills in high-traffic production environments
- Excellent documentation and communication skills
- Ability to take a methodical, disciplined approach when working with production data
Benefits
- Competitive salary and stock option plan
- 100% coverage for medical, dental, and vision insurance
- Flexible paid time off
- Competitive 401(k) and RRSP plans
- Learning and professional development allowance
- Paid parental leave
- Health and wellness initiatives
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