Data Engineer (4 to 5 years) - GCP cloud background

Regular IST hours

Remote/ Bangalore

Contract duration - 2 years

Interviews rounds - 2 rounds

Immediate joiners preferred

:

As a key member of the Data Team at Equinix, we are seeking a skilled GCP Data Engineer who will be responsible for end-to-end development of Data Engineering use cases, Equinix Data Lake platform and tools. You will design, build, and maintain scalable data infrastructure and analytics solutions on Google Cloud Platform. The ideal candidate will have strong expertise in cloud-native data technologies and a passion for building robust, effective data pipelines that drive business insights.

Key Responsibilities:

- Design, develop, and maintain scalable ETL/ELT pipelines using Cloud

Dataflow, Cloud Composer (Apache Airflow), Dataform/dbt and Cloud

Functions

- Build real-time streaming data pipelines using Cloud Pub/Sub, Kafka and

Dataflow
- Implement automated data quality checks and monitoring across all data

workflows
- Optimize pipeline performance and cost efficiency through proper resource

allocation and scheduling
- Architect and implement data lake and data warehouse solutions using Dataproc,

BigQuery, Cloud Storage, and Cloud SQL.
- Design optimal data models, partitioning strategies, and clustering for analytical

workloads
- Manage data lifecycle policies and implement automated archival and retention

strategies
- Ensure data security, encryption, and access control across all storage layers
- Build and optimize BigQuery datasets for analytics and reporting use cases
- Create and maintain dimensional models and fact tables for business intelligence.
- Implement data marts and aggregation layers for improved query

performance
- Support self-service analytics through proper data cataloging and documentation




- Having good knowledge of Dataplex and Analytics hub
- Integrate data from various sources including databases, APIs, SaaS

applications, and file systems
- Implement change data capture (CDC) solutions for real-time data

synchronization
- Work with third-party data providers and external data feeds
- Implement comprehensive monitoring and alerting using Cloud Monitoring and

Cloud Logging
- Troubleshoot data pipeline issues and implement robust error handling

mechanisms
- Maintain data lineage documentation and impact analysis capabilities

Required Qualifications

Technical Skills

- GCP Services: 2+ years hands-on experience with BigQuery, Cloud Dataflow

Cloud Composer, Cloud Storage, Cloud Pub/Sub, Dataform/dbt and Cloud

Functions

- Programming: Proficiency in Python/Java and SQL; experience with

Spark/Beam development.
- Data Technologies: Strong understanding of Apache Beam, Apache Airflow, and

distributed computing concepts
- Database Systems: Experience with both RDBMS (Cloud SQL, PostgreSQL,

MySQL) and NoSQL (Bigtable, Firestore) databases
- Infrastructure as Code: Experience with Terraform, Cloud Deployment

Manager, or similar tools.

Professional Experience

- Bachelor's degree in computer science, Engineering, or related field
- 4+ years of experience in data engineering or related roles
- 2+ years of specific experience with Google Cloud Platform
- Experience with version control systems (Git) and CI/CD pipelines
- Knowledge of data modelling techniques and dimensional modelling.

Preferred Qualifications
- Google Cloud Professional Data Engineer certification
- Experience with containerization (Docker, Kubernetes/GKE)
- Experience with data governance and compliance frameworks (GDPR, HIPAA,

SOX)
- Familiarity with business intelligence tools (Looker, Tableau, Power BI)
- Experience with streaming technologies beyond GCP (Kafka, Spark Streaming)

📌 Data Engineer (Bengaluru)
🏢 Allegis Global Solutions (AGS)
📍 Bengaluru