Data Engineer

3 weeks ago


Alpharetta, United States Equifax Full time

Equifax's Data Fabric team is seeking an experienced Sr. Data Engineer who can build, design and maintain the enterprise applications on the global data platform. T o adhere to our corporate location policies, this resource will be required to be local to the surrounding Atlanta areas (or willing to relocate for this position) and adhere to our Return To Office (RTO) / weekly onsite requirements (Tuesday, Wednesday, and Thursday). This is an Alpharetta based position. This role is currently not sponsorship eligible (will not be able to consider applicants that require sponsorship currently or in the future). What you'll do Develop and operationalize large-scale enterprise data solutions with a focus on high availability, low latency and scalability. Provide guidance,documentation and automation capabilities for Disaster Recovery as part of application deployment. Ensure data security and protection by consistently maintaining security postures. Work closely with compliance teams to ensure all our tools/solutions meet the necessary compliance guidelines(PCI,FISMA,FedRAMP,etc) Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK). Build CI/CD pipelines for build, test and deployment of application and cloud architecture patterns, using platform (Jenkins) and cloud-native toolchains. Knowledge of the configuration of monitoring solutions and the creation of dashboards (DPA, DataDog, Big Panda, Prometheus, Grafana, Log Analytics. Chao Search) Effectively communicate to technical peers and team members in both written and verbal formats. What experience you need BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job experience required 5-7 years of experience in database administration, system administration , performance tuning and automation 2 years of experience on Cloud native services like BigQuery, Cloud Spanner, DataFlow. Cloud Storage, Cloud Data Fusion, Cloud Functions, Cloud Composer or any other Google Cloud Analytical Services Experience in managing Traditional databases like SQLServer/Oracle/Postgres/MySQL and providing 24*7 Support Experience in implementing and managing Infrastructure as Code (e.g. Terraform, Python, Chef) and source code repository (GitHub). Demonstrable cross-functional knowledge with systems, storage, networking, security and databases Experience in designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native GCP, Java, Python, Scala, SQL etc. Understanding of GKE and distributed databases like cockroachDB, TigerGraph,Neo4j is a plus Proficiency with continuous integration and continuous delivery tooling and practices What could set you apart Cloud certification strongly preferred Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity


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