GCP Data Engineer

Role Summary

We are seeking a skilled GCP Data Engineer to design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP). The role will support enterprise analytics, reporting, and real‑time data processing needs by collaborating with global stakeholders, architects, and analytics teams.

Responsibilities

Key Responsibilities

• Design, develop, and maintain batch and streaming data pipelines on GCP
• Build and optimize datasets using BigQuery for analytical and reporting use cases
• Develop data ingestion pipelines using Dataflow (Apache Beam), Pub/Sub, and Cloud Storage
• Orchestrate workflows using Cloud Composer (Airflow)
• Implement data transformations, validations, and quality checks
• Optimize pipeline performance, scalability, and cost efficiency
• Collaborate with BI, analytics, and application teams to deliver trusted data
• Implement CI/CD, version control, and automated deployments
• Ensure data security, access control, and compliance standards are met
• Provide monitoring, troubleshooting, and production support

Mandatory Technical Skills

GCP & Data Services

• BigQuery (advanced SQL, partitioning, clustering, optimization)
• Cloud Storage (GCS)
• Dataflow (Apache Beam – batch & streaming)
• Pub/Sub
• Cloud Composer (Airflow)
• Dataproc (Spark/Hive – preferred)

Programming & Development

• Python (primary language)
• SQL (advanced analytics)
• Java or Scala (good to have)

Data Engineering Concepts

• ETL / ELT design patterns
• Data modeling (star/snowflake schemas)
• Handling structured and semi‑structured data
• Metadata management and schema evolution
• Data quality, reconciliation, and validation

Qualifications

DevOps, Security & Governance

• CI/CD pipelines (Cloud Build, Jenkins, GitLab)
• Infrastructure as Code (Terraform preferred)
• GCP IAM, service accounts, and role‑based access
• Encryption, PII handling, and compliance awareness
• Logging and monitoring using GCP native tools

Cloud & Architecture Skills

• GCP project setup and environment management
• Basic networking concepts (VPC, subnets, firewall rules)
• Scalable, fault‑tolerant cloud architecture
• Cost optimization and quota management

Preferred Qualifications

• Google Professional Data Engineer Certification
• Experience migrating data platforms from AWS or Azure to GCP
• Exposure to BI tools such as Looker
• Agile/Scrum methodology experience

Offshore Delivery Expectations

• Strong communication skills (written and verbal)
• Ability to work in partial overlap time zones
• Self‑driven and delivery‑focused mindset

About UsAt Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.