GCP BigQuery Data Engineer

Posted Yesterday
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2 Locations
In-Office or Remote
Mid level
Information Technology
The Role
Design, build, and optimize scalable GCP data pipelines and BigQuery data warehouses. Develop ETL/ELT workflows, implement data modeling, ensure data quality, optimize query performance and costs, maintain orchestration with Cloud Composer/Dataflow/Pub‑Sub, and automate deployments with CI/CD while enforcing security and governance.
Summary Generated by Built In
Job Summary

We are seeking a skilled GCP BigQuery Data Engineer to design, develop, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in BigQuery, data warehousing, ETL/ELT development, and cloud-based analytics platforms. The role involves building robust data pipelines, ensuring data quality, and enabling business insights through efficient data management practices.

Responsibilities
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using GCP services.
  • Build and optimize data warehouses and data marts using BigQuery.
  • Develop ETL/ELT workflows for ingesting data from multiple sources.
  • Implement data modeling techniques to support reporting and analytics requirements.
  • Optimize BigQuery performance, query costs, and storage utilization.
  • Work with structured, semi-structured, and streaming data sources.
  • Develop and maintain workflows using Cloud Composer (Airflow), Dataflow, and Pub/Sub.
  • Ensure data quality, consistency, security, and governance standards.
  • Partner with business stakeholders, data analysts, and data scientists to understand data requirements.
  • Monitor, troubleshoot, and enhance data platform performance.
  • Implement CI/CD processes and automate deployment of data solutions.
  • Follow data security and compliance best practices within GCP environments.
Required SkillsGCP Services
  • BigQuery
  • Cloud Storage (GCS)
  • Dataflow
  • Pub/Sub
  • Cloud Composer (Airflow)
  • Cloud Run / Cloud Functions
  • Dataproc (preferred)
Data Engineering
  • Data Warehousing Concepts
  • ETL/ELT Design & Development
  • Data Modeling (Star Schema, Snowflake Schema)
  • Data Migration and Data Integration
  • Batch and Real-time Processing
Programming
  • SQL (Advanced)
  • Python
  • Shell Scripting
Database Technologies
  • BigQuery
  • SQL Databases (MySQL, PostgreSQL, SQL Server)
  • NoSQL Databases (Preferred)
DevOps & Version Control
  • Git
  • CI/CD Pipelines
  • Terraform (Preferred)
Qualifications
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
  • 4+ years of experience in Data Engineering.
  • Minimum 2+ years of hands-on experience with GCP and BigQuery.
  • Strong expertise in SQL query optimization and performance tuning.
  • Experience building large-scale data processing solutions.
  • Knowledge of cloud security, governance, and data management best practices.
Preferred Qualifications
  • Google Cloud Professional Data Engineer Certification.
  • Experience with dbt.
  • Experience with Looker, Tableau, or Power BI.
  • Exposure to Machine Learning data pipelines.
  • Experience in Agile/Scrum development methodologies.
Key Competencies
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management.
  • Ability to work independently in a fast-paced environment.
  • Attention to detail and commitment to data quality.
  • Collaborative team player with a continuous learning 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.

Skills Required

  • Bachelor's or Master's degree in Computer Science, IT, or related field
  • 4+ years of experience in Data Engineering
  • 2+ years hands-on experience with GCP and BigQuery
  • Advanced SQL and SQL query optimization expertise
  • Design and development of ETL/ELT pipelines and data warehousing
  • Experience with BigQuery performance tuning, cost and storage optimization
  • Experience with Cloud Composer (Airflow), Dataflow, and Pub/Sub
  • Experience with Cloud Storage, Cloud Run or Cloud Functions
  • Proficiency in Python
  • Proficiency in shell scripting
  • Experience with relational databases (MySQL, PostgreSQL, SQL Server)
  • Knowledge of cloud security, governance, and data management best practices
  • Familiarity with CI/CD pipelines and Git
  • Dataproc experience
  • Terraform experience
  • Google Cloud Professional Data Engineer certification
  • Experience with dbt, Looker, Tableau, or Power BI

Zensar Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zensar Technologies and has not been reviewed or approved by Zensar Technologies.

  • Retirement Support A 401(k) with company match and immediate vesting is highlighted, with broad fund options available.
  • Wellbeing & Lifestyle Benefits Work-life balance, remote/hybrid flexibility, and supportive teams are emphasized as strengths that enhance the overall experience.
  • Parental & Family Support Inclusive policies such as parental leave and access to EAP and dependent medical coverage are promoted across regions.

Zensar Technologies Insights

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The Company
HQ: Pune, Maharashtra
10,000 Employees
Year Founded: 2001

What We Do

Zensar is a leading experience, engineering, and technology solutions company. We conceptualize, build, and manage digital products for Forbes Global 2000 clients across the hi-tech engineering, banking and financial services, insurance, manufacturing and consumer services verticals. With proven excellence across five core areas, including experience services, advanced engineering services, data engineering and analytics, foundation services, and application services, our solutions leverage industry-leading platforms to help our clients be competitive, agile, and disruptive while moving with velocity through change and opportunity. Zensar’s expansive ecosystem of 60+ technology partners, including Oracle, Salesforce, SAP, Guidewire, Automation Anywhere, Adobe, and UiPath, enables us to deliver comprehensive solutions to clients, facilitating seamless integration and allowing them to leverage cutting-edge technologies and tools for enhanced business outcomes. Zensar is part of the USD 4.4 billion RPG Group. With headquarters in Pune, India, our 10,500+ employees, representing over 50 nationalities, work from 30+ locations across North America, UK/Europe, and South Africa. Visit us at www.zensar.com

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