Role & responsibilities :

- Experience Profile:
- 4-9 years of professional experience in data engineering, software development, or big data architecture.
- 3+ years of hands-on experience building solutions on Google Cloud Platform (GCP).
- Strong background in data modeling, database design, and end-to-end data pipeline development.
- Technical Expertise:
- Python: Proficient in using Python for data processing, scripting, and building custom data pipelines.
- SQL: Advanced SQL skills for complex data analysis, query tuning, and database optimization.
- Orchestration: Proven experience building, debugging, and managing complex DAGs in Apache Airflow (Cloud Composer).
- Transformation: Hands-on experience with dbt (data build tool) for managing transformation logic and quality testing.
- Modern Data Stack: Deep understanding of ELT/ETL patterns, data warehousing (BigQuery), and data lake architectures.
- GCP Proficiency:
- Experience with BigQuery, Dataflow (Apache Beam), and Cloud Storage.




- Familiarity with containerization and infrastructure management tools (e.g., Docker, Terraform).
- Experience with CI/CD implementation and version control systems (Git).
- Communication & Collaboration:
- Strong verbal and written communication skills with the ability to explain technical details to non-technical stakeholders.
- Self-motivated, detail-oriented, and able to work collaboratively in a fast-paced, client-facing environment.

Preferred Skills:

- GCP Professional Certifications (e.g., Professional Data Engineer, Professional Cloud Architect).
- Experience in client-facing or consulting environments.
- Exposure to migrating legacy systems to contemporary cloud data platforms (e.g., migrations from on-prem or other clouds to GCP).
- Knowledge of data privacy regulations (GDPR, CCPA) and handling PII data within cloud environments.

📌 GCP Data Engineer with Dataflow, BigQuery, Pubsub, Dataproc (Spark) (West Bengal)
🏢 PwC
📍 West Bengal