Data Engineer With Expertise In Cloud Data Infrastructure
hace 4 semanas
Our client empowers partners to break away from the one-size-fits-all approach to payments, offering flexibility and innovation. We pride ourselves on being creative problem solvers, helping visionaries push boundaries and explore new possibilities.
Position Overview:
We are seeking a highly skilled DataOps Engineer with hands-on experience in Google Cloud Platform (GCP). The ideal candidate will have expertise in managing, orchestrating, and optimizing data pipelines, as well as deploying scalable data infrastructure. This role involves ensuring data quality, availability, and reliability while fostering collaboration between data engineers, data scientists, and business teams.
Key Responsibilities:
1. Design, implement, and manage data pipelines on GCP using tools such as Dataflow, BigQuery, Pub/Sub, Cloud Storage, and Cloud Composer.
2. Develop and maintain CI/CD pipelines for data workflows using tools like Cloud Build, Jenkins, or similar.
3. Automate the monitoring, alerting, and optimization of data processes to ensure efficient and reliable data flows.
4. Ensure data quality and integrity through monitoring, validation checks, and data auditing processes.
5. Collaborate with Data Engineers, Analysts, and Business teams to ensure data solutions align with business goals.
6. Optimize performance and cost-efficiency of data infrastructure by tuning storage and query performance on BigQuery and Cloud Storage.
7. Implement robust data security practices, including access management, encryption, and compliance with privacy regulations.
8. Create and maintain documentation for data processes, including technical specs, workflows, and best practices.
9. Use Terraform or Deployment Manager to automate the provisioning and scaling of data infrastructure on GCP.
Requirements:
1. Bachelor's degree in Computer Science, Data Engineering, or related fields.
2. 3+ years of experience in a DataOps, Data Engineering, or similar role.
3. Strong experience with Google Cloud Platform services like BigQuery, Dataflow, Pub/Sub, Cloud Composer, and GCS.
4. Proficiency in SQL and experience in managing big data environments and data lakes.
5. Hands-on experience with CI/CD pipelines for data processing and data automation.
6. Experience with infrastructure-as-code tools such as Terraform, Deployment Manager, or equivalent.
7. Solid understanding of data governance principles, including data lineage, security, and compliance.
8. Familiarity with containerization (Docker, Kubernetes) and orchestration tools.
9. Excellent problem-solving and debugging skills.
10. Strong communication skills and the ability to work cross-functionally with various teams.
Why Dataart:
Dataart is a company that empowers partners to break away from the one-size-fits-all approach to payments, offering flexibility and innovation. We pride ourselves on being creative problem solvers, helping visionaries push boundaries and explore new possibilities.
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