Data Engineer with Python and GCP - 5.5 Years Immediate joiners only

Data Engineer with Python and GCP

Experience Level: 5.5 to 9 Years

Must Have Skillset

SQL (4+ Years)

Python or PySpark (4+ Years)

GCP services (3+ Years)

BigQuery

Dataflow or Dataproc

Pub/Sub

Scheduled Query

Cloud Functions

Monitoring Tools Dashboard

Apache Kafka

Terraform scripting (2+ Year)

Airflow/Astronomer/Cloud Composer (2+ Year)

Good to have Skillset

Data fusion

Tekton pipeline/CI-CD Pipeline

GCP: Cloud Secrete Manager

Soft Skills

Strong all-round communication skills (written / presentation, one-to-one / group) & Excellent analytical, problem-solving and communication skills

Additional Notes:

When hiring for a Data Engineer with GCP experience, it is important to look for candidates with a strong understanding of both data warehousing and data processing technologies.

Good to have:

• The exposure to translate business problems into data/ML solutions and advanced analytics
• Good Knowledge in Prompt Engineering, Gen AI, LLM, Agentic AI frameworks such as Langgraph, CrewAI or OpenAI SDK or Google ADK