Highly Skilled Cloud Data Engineer
3 days ago
At SherlockTalent, we are seeking an experienced AI DevOps Data Ingestion Engineer to design and develop scalable data ingestion pipelines that collect and process data from diverse sources.
Key Responsibilities- We are looking for a talented professional who can automate infrastructure provisioning and pipeline deployments using Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation.
- The ideal candidate will implement and manage CI/CD pipelines to support the deployment and monitoring of data systems.
- They will collaborate with data scientists and analysts to ensure data integrity, normalization, and transformation meet analytics needs.
- Our team requires someone who can optimize data ingestion workflows for performance, scalability, and reliability in cloud environments like AWS, GCP, or Azure.
- We need a skilled engineer who can monitor data pipelines, troubleshoot issues, and maintain high availability and fault tolerance across systems.
- The selected candidate will ensure security and compliance for data systems by implementing best practices for access control, encryption, and monitoring.
- A strong experience with cloud platforms (AWS, GCP, Azure) and associated data services (e.g., S3, BigQuery, Redshift, or similar).
- Expertise in building data ingestion pipelines using tools like Apache Kafka, Apache NiFi, or AWS Glue.
- Hands-on experience with CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions.
- Proficiency in scripting and programming languages such as Python, Bash, or Go for automation.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Strong knowledge of database systems (SQL and NoSQL) and data transformation techniques.
- Solid understanding of monitoring and logging tools such as Prometheus, Grafana, or ELK stack.
We offer a competitive salary range of $200,000+ per year, along with founders-level equity. The location of this role is the Bay Area, CA. We thrive on innovation, collaboration, and delivering excellence. If you're passionate about designing scalable data pipelines and ensuring robust infrastructure for seamless data flow, we encourage you to apply.
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