Data Engineer
1 month ago
Job Description :
a. Leverage Google Cloud services (such as BigQuery, Dataflow, Pub/Sub, and Dataproc ) to build and manage data processing systems.
b. Develop and maintain data pipelines , ensuring data accuracy, consistency, and security. Optimize data infrastructure for performance, scalability, and reliability.
c. Designed and implemented data modelling techniques to improve query performance and optimize storage within Big Query, contributing to cost-efficiency and enhanced data retrieval speed.
d Experience in using GCP services and tools such as BigQuery, Cloud Storage, Cloud Pub/Sub, Cloud Data Fusion, Cloud Dataproc, or Cloud Composer.
e. Proficient in using services such as Cloud Function, Dataflow, Cloud Scheduler, Cloud Logging, and Cloud SQL to build scalable and efficient data solutions
f. Knowledge of cloud development and DevSecOps practices such as CI/CD, testing, monitoring, logging, and security.
g. Proficiency in ETL (extract, transform, load) processes and tools for data integration and transformation.
h. Strong coding skills in Python.
i. Experience in using GCP services and tools such as BigQuery, Cloud Storage, Cloud Pub/Sub, Cloud Data Fusion, Cloud Dataproc, or Cloud Composer.g.
j. Basic understanding of Machine Learning concepts."f. Familiarity with Bitbucket for version control.
k. Basic understanding of Machine Learning concepts.
l. Design and implement solutions for data storage, retrieval, and analysis on GCP.
(ref:hirist.tech)-
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