About the Role
We are seeking a highly motivated and hands-on GCP Data Engineer to support the development and delivery of modern enterprise data and AI platforms on Google Cloud Platform (GCP).
This role will work closely with Lead Data Engineers, Enterprise Architects, analytics teams, and AI/ML teams to build scalable, reliable, and AI-ready data pipelines and cloud-native data solutions that support enterprise analytics, intelligent automation, and digital transformation initiatives.
The ideal candidate should possess strong foundations in cloud data engineering, distributed data processing, and modern data platform development, along with a passion for building high-quality, scalable, and reusable data solutions in a fast-paced enterprise environment.
This role offers an excellent opportunity to work on large-scale data modernization, semantic data enablement, and next-generation AI data ecosystems.
Job Location : Bangalore, Pune, Mumbai
work Timings : 01.00 P.M. - 10.00 P.M.
Notice Period : Immediate to 15 Days (Preferred)
Technical Expertise Required
Area
Skills / Technologies
Cloud Data Engineering
GCP, BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage
Data Processing
SQL, Python, PySpark, DBT
Streaming & Pipelines
Apache Beam, batch & real-time processing
Workflow Orchestration
Cloud Composer (Airflow), Workflows
Semantic & Analytics
Basic semantic modeling concepts, reporting datasets, Looker exposure preferred
AI/ML Enablement
Vertex AI exposure, BigQuery ML, GenAI ecosystem awareness
Metadata & Governance
Data Catalog, metadata management, lineage concepts
DevOps & Automation
CI/CD concepts, Git, automation frameworks
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
- 3–6 years of experience in data engineering and cloud-based data platform development.
- Hands-on experience working with Google Cloud Platform (GCP) data services.
- Strong SQL and Python programming skills.
- Experience developing scalable ETL/ELT pipelines and distributed data processing workflows.
- Understanding of modern data architecture concepts including data lakes, data warehouses, and streaming pipelines.
- Exposure to analytics, AI/ML, or GenAI-enabled data ecosystems preferred.
- Strong analytical, troubleshooting, and problem-solving skills.
- Ability to work collaboratively in Agile and cross-functional delivery teams.
- GCP certifications such as Associate Cloud Engineer or Professional Data Engineer are a plus.
Preferred Experience
- Exposure to enterprise-scale data modernization initiatives.
- Familiarity with modern data engineering and data product development practices.
- Experience working with semantic layers, reporting platforms, or BI ecosystems.
- Exposure to AI-ready data platforms and modern analytics ecosystems.
- Experience in retail, marketing, customer analytics, or digital commerce domains is an advantage.
Data delivery, re-designing infrastructure for greater scalability, etc
Builds analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Works with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
Keeps our data separated and secure
Creates data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader
Works with data and analytics experts to strive for greater functionality in our data systems