GCP Data Engineer

<p><b>Job Description:</b></p> <div> </div> <div> <ul> <li> <p>Designing, building and deploying cloud solution for enterprise applications, with expertise in Cloud Platform Engineering. </p> </li> <li> <p>Expertise in application migration projects including optimizing technical reliability and improving application performance </p> </li> <li> <p>Good understanding of cloud security frameworks and cloud Security standards </p> </li> <li> <p>Solid knowledge and extensive experience of GCP and its cloud services. </p> </li> <li> <p>Experience with GCP services as Compute Engine, Dataproc, Dataflow, Big Query, Secret Manager, Kubernetes Engine and Cloud Functions. </p> </li> <li> <p>Experiencing in Google storage products like Cloud Storage, Persistent Disk, Nearline, Coldline and Cloud Filestore </p> </li> <li> <p>Experience in Database products like Datastore, Cloud SQL, Cloud Spanner & Cloud Bigtable </p> </li> <li> <p>Experience with implementing containers using cloud native container orchestrators in GCP </p> </li> <li> <p>Strong cloud programming skill with experience in API and Cloud Functions development using Python </p> </li> <li> <p>Hands-on experience with enterprise config & DevOps tools including Ansible, BitBucket, Git, Jira, and Confluence. </p> </li> <li> <p>Strong knowledge of cloud Security practices and Cloud IAM Policy preparation for GCP </p> </li> <li> <p>Knowledge and experience in API development, AI/ML, Data Lake, Data Analytics, Cloud Monitoring tool like Stackdriver </p> </li> <li> <p>Ability to participate in fast-paced DevOps and System Engineering teams within Scrum agile processes </p> </li> <li> <p>Should have Understanding of data modelling, Data warehousing concepts </p> </li> <li> <p>Understand the current application infrastructure and suggest changes to it. </p> </li> </ul> </div>