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Key Responsibilities:
Develop and maintain backend services using Python including APIs automation and data processing
Design and implement cloud native solutions on GCP leveraging services such as Cloud Run Cloud Functions Firestore or Compute EngineApp Engine
Contribute to system design and architecture discussions focusing on scalability and microservices
Follow SDLC best practices writing clean modular and testable code using OOP principles and design patterns
Collaborate with cross functional teams to deliver high quality software solutions
Support CICD pipelines version control and automated testing as part of DevOps practices, Willing to work in Shifts
Required Skills Qualifications
Certifications Google Cloud Associate or Professional Certification preferred other relevant cloud or software certifications are a plus
Python Strong proficiency in backend development API creation automation and data manipulation
GCP Practical experience with GCP services especially serverless or compute based offerings
System Design Good understanding of scalable architectures and microservices concepts
SDLC OOP Solid grasp of object oriented programming design patterns and clean code practices
DevOps Working knowledge of Git CICD pipelines automated testing and infrastructure as code
Mandatory Skills : GCP Bigtable, GCP Cloud Functions, GCP Fundamentals, Python
Job ID: 148066347
Skills:
composer , Unix, BigQuery, Hadoop, Uc4, Kafka, Sql, Control M, Gcp, RDBMS, Linux, Cicd, DataFlow, Python, Airflow, Pubsub, Atomic, Google Cloud SDK, Cloud SQL, GCS, NiFi
Skills:
bigtable , BigQuery, Networking, ELT, Cloud Storage, Storage, Iam, DataFlow, Python, Etl, DevOps practices, Cloud Build, Compute, Spanner
Skills:
BigQuery, Dataproc, ELT, Cloud Storage, Gcp, Terraform, Compute Engine, DataFlow, Etl, Airflow, GKE, Pubsub, Cloud Build, Cloud Composer, Kubernetes Engine
Skills:
DataFlow, BigQuery, Sql, ELT, Etl, Apache Airflow, Data Warehousing, Python, Cloud Storage, Cloud Composer
Skills:
Spark SQL, Unix, Pyspark, Sql, GCP Cloud, ETL pipelines
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