STARTASAP

DURATION> 12 months
Client: Pharmaceutical company
Remote work: 100% (must be PL based)
Assignment type: B2B
Project length: Long-term cooperation
Start: Flexible
Business trips: Yes, occasionally
Project language: English

REQUIREMENTS:

• Over six years of experience in data warehousing and relational databases, including expertise in Snowflake, Oracle, and PostgreSQL.
• Skilled in handling multiple Snowflake accounts, ideally across various cloud providers.
• Proficient in monitoring Snowflake usage, managing warehouses, and configuring resource monitors effectively.
• Strong understanding of Role-Based Access Control (RBAC), best practices for setting up Snowflake roles, and secure access management.
• Experienced in configuring Snowflake Secure Data Sharing, managing data consumers, and leveraging Partner Connect.
• Capable of creating replicated databases and demonstrating database replication, failover, and failback processes.
• Ability to implement and explain enhancements from Public and Private Preview features to users.
• Experienced in overseeing Snowflake releases, particularly in managing deprecations in monthly updates.
• Strong programming skills in SQL, Shell Scripting, and Python.
• Solid knowledge of AWS and cloud technologies, with a deep understanding of data warehousing concepts.
• At least two years of supervisory or team leadership experience in cross-functional or project delivery teams.
• Adept at engaging with senior internal and external stakeholders on technical topics.
• Proven problem-solving skills with the ability to design and implement technical solutions for complex data challenges.
• Familiarity with project and system development methodologies, particularly Agile frameworks.
• Knowledge of operating systems, relational database architectures, query languages, standard programming environments, data integration tools, application integration solutions, and web-based information systems.
• Excellent verbal and written communication skills across all organizational levels.
• Strong ability to manage and prioritize multiple projects efficiently

The team specializes in data acquisition and ingestion, data analysis, and data engineering, while also promoting data-driven decision-making and providing support to data science users on its platform. As a cloud-native organization, it primarily operates on AWS and follows the Scrum methodology to deliver solutions effectively. The team has developed and currently manages the enterprise data lake, data mesh, and data science platform on AWS, reinforcing its commitment to delivering world-class data management.