Description

job responsibilities include:

Designing and developing scalable data pipelines and microservices that support real‑time and batch processing on GCP.

Implementing service‑oriented and microservices‑based architectures to ensure modular and maintainable data platform components.

Integrating front‑end and back‑end components by applying full‑stack expertise to enable seamless data access and user‑driven exploration.

Leading ingestion and integration of diverse data sources into the enterprise data platform while ensuring standardization and optimization.

Utilizing GCP tools such as BigQuery, Dataflow, Pub/Sub, and Cloud Functions to build and manage reliable cloud‑native data solutions.

Optimizing performance, scalability, and efficiency of data pipelines while automating platform processes to enhance reliability and reduce manual effort.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, Software Engineering, or a closely related field.

Minimum 5+ years in software development (Java/Python), 3+ years with GCP services, and 3+ years building microservices and REST APIs.

Strong hands‑on experience developing scalable data pipelines, microservices, and cloud‑native solutions using GCP tools such as BigQuery, Dataflow, Pub/Sub, and Cloud Functions.

Proven ability to apply full‑stack skills, CI/CD practices, and service‑oriented architecture to build reliable, secure, and high‑performance data platform components

Key Skills

Education

Any Graduate