Continuous Improvement & Collaboration
Automate repetitive BAU activities, improve monitoring and platform reliability, maintain SOPs/runbooks, and collaborate with Data Engineering, Product, Infrastructure, upstream/downstream teams, and technology partners.
Qualifications & Technical Skills
Required
6+ years of experience in Data Engineering, Data Integration, Data Platform Engineering, or ETL/ELT development.
Strong hands-on experience with SQL, ETL/ELT, data pipelines, Data Lake, data warehouse, and data integration.
Experience with enterprise ETL/data integration platforms. Informatica IICS or equivalent experience is highly desirable.
Experience with cloud data platforms, preferably AWS/S3, and relational databases.
Strong ability to troubleshoot complex production issues across data pipelines, databases, integrations, and upstream/downstream systems.
Experience supporting business-critical production data environments, including monitoring, incident resolution, change/release, and production validation.
Working knowledge of Python, Shell/Bash, or similar scripting and automation technologies.
Strong analytical and problem-solving skills with a detail-oriented, patient, and ownership-driven working style.
Good communication and collaboration skills with both technical and business stakeholders.
Preferred
Hands-on experience with Informatica IICS, AWS S3, Redshift, PostgreSQL, Snowflake, or similar technologies.
Experience with data quality, reconciliation, metadata, data lineage, and monitoring.
Experience with CI/CD, automation, and DevOps practices for data engineering.
Familiarity with enterprise Incident, Problem, Change, Release, Security, Audit, and Disaster Recovery processes.
Experience in pharmaceutical, healthcare, life sciences, or other regulated industries is highly preferred.
Work Location Assignment: On Premise
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
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Information & Business Tech
