GCP Data Engineer

Data Engineering & Development
Design, develop, and maintain data pipelines on GCP.
Build scalable ETL/ELT solutions for ingesting, transforming, and loading data from multiple source systems.
Develop batch and real-time data processing solutions.
Optimize data workflows for performance, reliability, and scalability.
GCP Platform Development
Work with GCP services including:
BigQuery
Dataflow
Dataproc
Pub/Sub
Cloud Storage
Cloud Composer (Airflow)
Cloud Functions
Implement cloud-native data architectures and best practices.
Data Warehousing & Analytics
Design and maintain data warehouse solutions in BigQuery.
Develop data models to support reporting and analytics requirements.
Ensure data integrity, quality, and consistency across platforms.
Production Support & Monitoring
Support production environments and troubleshoot data pipeline issues.
Monitor scheduled jobs and resolve failures in a timely manner.
Perform root cause analysis and implement permanent fixes.
Ensure adherence to SLA and operational requirements.
Collaboration
Work closely with Data Architects, Business Analysts, Product Owners, and Reporting teams.
Participate in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives.
Contribute to technical design discussions and code reviews.
Required Technical SkillsGCP Technologies
BigQuery
Dataflow
Dataproc
Pub/Sub
Cloud Storage
Cloud Composer (Airflow)
Cloud Functions
Programming
Python
SQL (Advanced)
Data Engineering
ETL/ELT Development
Data Modeling
Data Warehousing Concepts
Data Quality and Validation
Performance Tuning
Databases
SQL Server
Oracle
PostgreSQL
MySQL
Version Control & CI/CD
Git
Jenkins / GitHub Actions
DevOps concepts
Preferred Skills
PySpark / Apache Spark
Kafka
Terraform
Snowflake
Looker
Tableau
Power BI
Data Governance concepts
NA
NA