Cloud Engineer

Website http : / / www.intraedge.com

Cloud Data Engineer(GCP) Experience-4+ Notice period-max 15 days Location -Gurugram(Hybrid)

We are looking for a highly skilled Engineer with a solid experience of building Bigdata, GCP Cloud based marketing ODL applications. The Engineer will play a crucial role in designing, implementing, and optimizing data solutions to support our organization’s data-driven initiatives. This role requires expertise in data engineering, strong problem-solving abilities, and a collaborative mindset to work effectively with various stakeholders.

Technical Skills 1. Core Data Engineering Skills Proficiency in using GCP’s big data tools like : BigQuery : For data warehousing and SQL analytics. Dataproc : For running Spark and Hadoop clusters. Expertise in building automated, scalable, and reliable pipelines using custom Python / Scala solutions or

Cloud Data Functions

• 2. Programming and Scripting Strong coding skills in

SQL , and

Java . Familiarity with

APIs and SDKs

for GCP services to build custom data solutions.

3. Cloud Infrastructure Understanding of GCP services such as

Cloud Storage ,

Compute Engine , and

Cloud Functions . Familiarity with

Kubernetes (GKE)

and containerization for deploying data pipelines. (Optional but Good to have) 4. DevOps and CI / CD Experience setting up CI / CD pipelines using

Cloud Build ,

GitHub Actions , or other tools. Monitoring and logging tools like

Cloud Monitoring

Cloud Logging

for production workflows.

Soft Skills

1. Innovation and Problem-Solving Ability to think creatively and design innovative solutions for complex data challenges. Experience in prototyping and experimenting with cutting-edge GCP tools or third-party integrations. Strong analytical mindset to transform raw data into actionable insights. 2. Collaboration Teamwork : Ability to collaborate effectively with data analysts, and business stakeholders. Communication : Strong verbal and written communication skills to explain technical concepts to non-technical audiences. 3. Adaptability and Continuous Learning Open to exploring new GCP features and rapidly adapting to changes in cloud technology.