Description : We are looking for passionate Data Engineers who thrive in building scalable data platforms using modern cloud and big data technologies.

Role : Data Engineer

Key Responsibilities :

- Design and develop scalable data pipelines on GCP

- Build end-to-end data ingestion and processing systems from :

1. Traditional databases

2. API-based data sources

- Work on large-scale distributed systems and big data platforms

- Collaborate with cross-functional teams to support BI and Analytics use cases

- Ensure data quality, reliability, and performance optimization

- Contribute to architecture and design of data platforms

Required Skills & Experience :

- Strong experience in GCP-based data engineering

- Hands-on experience with Hadoop ecosystem (preferred if GCP exposure is limited)

- Proficiency in programming languages : Python, Scala, Java

- Strong understanding of data storage formats and their trade-offs

- Experience in building end-to-end data pipelines

- Good analytical and problem-solving skills

- Strong communication and stakeholder management abilities

- Data Engineering certification is a plus

GCP Tools & Technologies :

Storage :

- Cloud SQL, Cloud Storage, BigQuery

- Cloud Bigtable, Cloud Spanner, Datastore

Data Ingestion :

- Pub/Sub, Kafka

- App Engine, Kubernetes Engine

- Stackdriver, Dataprep, Microservices

Scheduling :

- Cloud Composer

Processing :

- Cloud Dataproc, Dataflow, Dataprep

CI/CD & Tools :

- GitLab / Bitbucket + Jenkins

- Atlassian Suite

Good to Have :

- Experience in Retail or eCommerce domain

- Strong interest in Data Engineering as a career path