# Senior Data Engineer

**Company**: Pfizer
**Location**: Hangzhou, Zhejiang
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://pfizer.wd1.myworkdayjobs.com/en-US/PfizerCareers/job/China---Zhejiang---Hangzhou/Senior-Data-Engineer_4966492?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_994a0448-c9b

## 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
- SQL
- ETL/ELT
- Data Lake
- data integration
- Python
- Shell/Bash
- AWS/S3
- relational databases

### Nice to have
- Informatica IICS
- Redshift
- PostgreSQL
- Snowflake
- CI/CD
- DevOps
- data quality
- reconciliation
- metadata
- data lineage
- monitoring

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Source: [Apply at pfizer.wd1.myworkdayjobs.com](https://pfizer.wd1.myworkdayjobs.com/en-US/PfizerCareers/job/China---Zhejiang---Hangzhou/Senior-Data-Engineer_4966492?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
