GCP Data Engineer

Responsibilities

• Build programmatic upstream and downstream data lineage across multiple GCP projects and BigQuery datasets
• Discover datasets, tables, views, stored procedures, jobs, and other relevant data assets
• Trace data movement and intermediate processing through BigQuery, Dataflow, Cloud Data Fusion, stored procedures, Cloud Storage, and related GCP services
• Use GCP Data Lineage/Dataplex APIs, BigQuery INFORMATION_SCHEMA, job metadata, and other GCP APIs to collect and enrich lineage information
• Capture available table-level and column-level lineage, transformation details, and pipeline execution metadata
• Extract data quality rules, scans, and results using Dataplex and related metadata services
• Develop Python/SQL-based services and pipelines to collect, normalize, validate, and store metadata in BigQuery
• Generate standardized OpenLineage JSON/events and integrate lineage metadata with Collibra
• Implement secure cross-project access using GCP service accounts, IAM roles, and least-privilege principles
• Build monitoring, logging, error handling, and audit capabilities for metadata and lineage processing
• Support AI/agentic workflows for metadata analysis, lineage enrichment, and identification of lineage or data quality gaps

Preferred

• Technical certification in multiple technologies is desirable

Benefits

• Opportunities to build expertise across emerging technologies, industry domains, and next-generation engineering practices.
• CitiusTech Academy Programs
• Leadership Development Programs
• Mentorship Initiatives
• Capability-led Learning Tracks
• Specialized Healthcare Certifications
• Depending on project and client needs, you may work across on-site, hybrid, or flexible models.
• Glassdoor
• 3.7
• Major provider of technology services and solutions to healthcare technology companies, providers, payers and life sciences organizations It is a sub-organization of BPEA EQT.
• Princeton, New Jersey, USA
• http://citiustech.com
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Engineering and Development
• Customer Service and Support
• Management and Executive
• Sales
• Creatives and Design
• Product Management
• Human Resources
• Trends of Total Sponsorships
• *2026
• (285)
• 2025
• (399)
• 2024
• (440)
• 2023

Qualifications

• Strong hands-on experience with Python and SQL
• Strong experience with Google BigQuery, including metadata and `INFORMATION\_SCHEMA`
• Experience with Dataflow and/or Cloud Data Fusion
• Experience integrating with GCP APIs and REST APIs
• Understanding of data lineage, metadata management, data quality, and data governance
• Experience with GCP IAM, service accounts, and cross-project access
• Experience designing and supporting production-grade data pipelines
• Strong troubleshooting and problem-solving skills
• Engineering Degree – BE / ME / BTech / M Tech / B.Sc. / M.Sc. Or any Bachelors Degree
• Technical certification in multiple technologies is desirable

Required skills

• Python, SQL, Google BigQuery, Dataflow, Cloud Data Fusion, GCP APIs, REST APIs, Data Lineage, Metadata Management, Data Quality, Data Governance, GCP IAM, Service Accounts, Cross-Project Access, Production Data Pipelines

Experience

• Mid level