Data Engineer - Informatica Cloud (IICS/IDMC) & Snowflake
Remote
Full, France
Freelance
20-11-2024
Job Specifications
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) andSnowflake.
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.
About the Company
Chez DataPy, nous pensons que la donnée et la technologie sont des leviers majeurs pour rendre le monde meilleur. Nous avons deux missions principales : * Apporter les meilleures missions et le meilleur suivi aux consultants de notre équipe. * Contribuer aux solutions les plus performantes de traitement et d'industrialisation de la Data, depuis le Data Engineering jusqu'au développement fullstack. Nous partageons un goût pour l’innovation et les nouvelles technologies associées au respect des valeurs écologiques et huma... Know more
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