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From the employer's careers site First seen 2 Nov 2026

Senior Data Engineer

Pfizer Hangzhou, Zhejiang On-site senior full-time

The employer hasn't listed a salary.

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Description

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

  • Operate 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.
  • Provide 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.
  • Support data quality monitoring, reconciliation, access management, security and audit activities, platform maintenance, Disaster Recovery, and production readiness.
  • Support 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.
  • 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.

Skills

Required

Nice to have

Ready to apply?

You apply with the employer directly. Their original posting is here: https://pfizer.wd1.myworkdayjobs.com/en-US/PfizerCareers/job/China---Zhejiang---Hangzhou/Senior-Data-Engineer_4966492

Apply on Pfizer