Pfizer

Senior Data Engineer

Posted Yesterday

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Hangzhou, Chekiang Province, CHN

In-Office

Senior level

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical

We’re in relentless pursuit of breakthroughs that change patients’ lives.

The Role

Operate and improve enterprise data lakes, ETL/ELT pipelines, integrations, and scheduled jobs. Provide L2/L3 production support, troubleshoot failures and data discrepancies, perform root cause analysis, and maintain data quality, security, audit, disaster recovery, and production readiness. Support releases, configuration changes, bug fixes, and pipeline enhancements. Automate operational activities, improve monitoring and reliability, maintain runbooks, and collaborate with engineering, infrastructure, product, and business teams.

Summary Generated by Built In

Role Overview
We are looking for an experienced Senior Data Engineer to support the reliable operation and continuous improvement of our enterprise Data Lake and data integration platforms.
This is a hands-on engineering role with a strong focus on Data Lake BAU operations, production support, data pipeline reliability, and troubleshooting. The ideal candidate will have solid data engineering expertise, strong problem-solving skills, and a detail-oriented, patient, and ownership-driven mindset.
Key Responsibilities

Data Lake & Pipeline OperationsOperate and monitor Data Lake services, ETL/ELT pipelines, scheduled jobs, data synchronization, ingestion, and downstream delivery to ensure data is processed accurately and on schedule.
Production Support & TroubleshootingProvide L2/L3 support and investigate job failures, missing/rejected data, synchronization delays, data discrepancies, performance, and integration issues. Perform root cause analysis across source systems, data pipelines, Data Lake, and downstream applications.
Data Quality & Operational ReadinessSupport data quality monitoring, reconciliation, access management, security and audit activities, platform maintenance, Disaster Recovery, and production readiness.
Change, Release & Engineering EnhancementSupport platform changes, releases, configuration updates, bug fixes, and integration changes. Develop or enhance ETL/ELT pipelines, SQL logic, mappings, and data processing components where required.
Continuous Improvement & CollaborationAutomate 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.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers .
Information & Business Tech

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 lakes, data warehouses, and data integration
Experience with enterprise ETL or data integration platforms
Experience with cloud data platforms, preferably AWS/S3, and relational databases
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 technical and business stakeholders
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

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The Company

HQ: New York, NY

121,990 Employees

Year Founded: 1848

What We Do

Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.

Why Work With Us

We are the inventors, the problem solvers, the big thinkers — those who surmount any hurdle to deliver breakthrough medicines to the people who are counting on them the most.