Key Responsibilities:Data Integration Engineering:

• Design and implement robust data pipelines to integrate data into Snowflake using Informatica Cloud (IICS/IDMC).
• Ensure pipelines are efficient, scalable, and reliable to meet organizational requirements.

Monitoring & Optimization:

Establish and manage key performance indicators (KPIs) for data processes, including:

• Volume of integrated data.
• Processing speed and error rates.
• Success and failure rates of data pipelines.

Continuously monitor the performance of workflows and implement optimizations as needed.

Data Quality Assurance:

Define and enforce data quality standards, focusing on:

• Completeness, accuracy, and consistency of data.
• Detection and resolution of data errors and anomalies.

Troubleshoot integration issues to maintain a high level of data integrity.

Collaboration & Reporting:

• Collaborate with cross-functional teams to align data engineering efforts with business objectives.
• Provide actionable insights and regular reports on pipeline performance and data quality to stakeholders.

Qualifications and Experience:Required Skills and Experience:

• 8+ years of experience in data engineering or a related role.
• Hands-on expertise in: Informatica Cloud (IICS/IDMC) and Snowflake.
• Strong experience in building and optimizing data pipelines.
• In-depth knowledge of data quality assurance and monitoring best practices.
• Excellent troubleshooting and problem-solving skills for data integration issues.

Preferred Skills:

• Previous experience in the pharmaceutical or life sciences industry is an advantage.
• Effective communication skills for remote collaboration

Contract Type: Renewable.