Job Description
Summary
Join Deloitte South Asia as a GCP Data Engineer – Consultant and be part of an elite team driving cloud data transformation using Google Cloud Platform (GCP). This is a unique opportunity to work on end-to-end data engineering solutions, leveraging tools like BigQuery, Dataflow, Airflow, and more. If you’re passionate about data architecture, big data, cloud engineering, and enterprise data pipelines, this role offers the platform to grow, innovate, and deliver high-impact projects across diverse industries. Deloitte’s hybrid working model, global reach, and culture of purpose-driven innovation make this an ideal next step in your cloud career.
Job Details at a Glance
| Job Title | GCP Data Engineer – Consultant |
|---|---|
| Location | Pune, India (Other locations: Mumbai, Bangalore, Delhi, Hyderabad) |
| Job Type | Full-time, Hybrid |
| Department | Technology & Transformation (T&T) |
| Level | Consultant |
| Entity | Deloitte South Asia LLP |
| Experience Required | 3–6 years in Data Engineering |
| Tech Stack | GCP (BigQuery, Dataflow, Composer), SQL, Python, Java, CI/CD |
| Tools & Platforms | Git, Jenkins, Docker, SonarQube, Airflow |
| Travel | Occasional travel to client locations |
| Work Mode | Hybrid (customized per domain) |
Key Responsibilities
As a GCP Data Engineer Consultant, you will:
- Design, develop, and deploy scalable data solutions on Google Cloud Platform
- Configure and optimize data pipelines using Dataflow, BigQuery, Cloud Storage
- Implement orchestration using Cloud Composer or Apache Airflow
- Perform data transformation and processing using SQL, Python, Java, or Scala
- Collaborate with stakeholders to understand data requirements and convert them into technical solutions
- Ensure data quality with validation, monitoring, and logging mechanisms
- Maintain documentation across development, UAT, and production phases
- Participate in structured change control and resolve real-time data processing issues
Skills & Tools
- Core GCP Services: BigQuery, Cloud Storage, Dataflow, IAM, Cloud Composer
- Databases: Cloud SQL, Bigtable, Spanner, AlloyDB, PostgreSQL, Oracle
- Programming Languages: Proficient in SQL and one of Python/Java/Scala
- CI/CD Tools: Git, Jenkins, Docker, Artifactory, SonarQube
- Data Orchestration: Airflow/Cloud Composer
- Big Data Concepts: Data warehousing, data modeling, pipeline optimization
- NoSQL Exposure: MongoDB, Scylla, Cassandra, DynamoDB (preferred)
- Soft Skills: Analytical thinking, stakeholder management, collaboration
Qualifications
- Bachelor’s or Master’s in Computer Science, Data Engineering, or related field
- 3–6 years of relevant experience in GCP-based data engineering
- Proven expertise in SQL and at least one scripting language
- Strong grasp of data integration, migration, and transformation principles
- Hands-on experience with CI/CD pipelines and cloud-native architecture
- Familiarity with end-to-end data warehouse (DW) implementation preferred
Why Deloitte?
- Purpose-Driven Culture: Thrive in a workplace that celebrates diversity, inclusion, and impact
- Global Exposure: Work with international clients and cross-border teams
- Career Growth: Upskilling, leadership training, and internal mobility options
- Hybrid Flexibility: Tailored work model to fit your domain’s unique needs
- Wellbeing Focused: Support for your accessibility, safety, and caregiving needs
Apply Now
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Visit the official Deloitte careers page and apply today: