Experience :
- 3-4 years of hands-on experience as a Data Engineer with strong focus on Google Cloud Platform. Experience in building and maintaining production-grade data pipelines and infrastructure on GCP.
Qualifications : Bachelor's or Master's degree in Statistics / Applied statistics
Primary Skills :
Google Cloud Platform Expertise :
Advanced proficiency in BigQuery (SQL, DML / DDL, optimization techniques)Experience with Cloud Dataflow for batch and streaming data processingHands-on with Cloud Composer / Apache Airflow for orchestrationCloud Storage, Cloud SQL, Cloud Spanner, and Bigtable implementationCloud Pub / Sub for event-driven architecturesCloud Functions and Cloud Run for serverless computingDataProc for managed Spark / Hadoop workloadsProgramming & Tools :
Strong programming skills in Python, Java, or ScalaProficiency in SQL and NoSQL databasesExperience with Apache Beam SDK for data processingInfrastructure as Code using Terraform or Cloud Deployment ManagerVersion control with Git and CI / CD pipelinesData Engineering Concepts :
ETL / ELT design patterns and best practicesData modeling (dimensional, normalized, denormalized)Data warehousing and data lake architecturesStream processing and real-time analyticsData partitioning, sharding, and optimization strategies(ref : hirist.tech)