| Opening for Data Defense Developer Location: Remote USA at Remote, Remote, USA |
| Email: [email protected] |
| From: Rahman, Webster Tech Solutions Inc [email protected] Reply to: [email protected] Position: Data Defense Developer Location: Remote USA Updated Job Description: Deep knowledge of storage systems, with a focus on Network Attached Storage (NAS). Proficiency in developing software & low level storage interfaces with diverse backend storage systems. Ability to independently address and resolve issues. Fundamental understanding of technology architectures including SQL/NoSQL databases (MongoDB, MySQL), DBMS, Redis, Flink, and Spark. Competence in debugging and optimizing systems without external guidance. Experience in developing backend interfaces/APIs, primarily using C, with proficiency in Java and Go. Python programming skills are also required . Job Summary: As a Data Defense Operations Developer, you will be responsible for supporting the Data Defense Lead along with a team of cross-functional cyber, privacy, engineering, and data protection analysts to define, implement, manage, and measure controls to protect data in accordance with relevant geographical regulations, contractual commitments, and confidentiality Bachelors Degree or industry equivalent work experience 3-5 years experience programming & debugging non-trivial projects using Python, Java, Golang, or C, involving topics like concurrency & async Strong understanding of relational databases (MySQL, PostgreSQL, SQL Server, etc.) advanced topics (optimization, replication, isolation, etc.) Strong understanding of one of the following: Spark (architecture, debugging, optimization) Flink (architecture, debugging, optimization) Other distributed computing framework Strong understanding of one of the following: Distributed SQL databases (Hive, Hudi, Iceberg, ClickHouse, etc.) NoSQL databases (Redis / Redis Cluster, HBase, Cassandra, etc.) - consistency, consensus, etc. Message queues (e.g. Kafka, RocketMQ, RabbitMQ, etc.) - delivery semantics, etc. Unstructured distributed storage (Object Storage, File Storage, Block Storage) Strong understanding of containers and their orchestration (Kubernetes), and significant experience with public/hybrid/private cloud Familiarity working with Linux Ability to stay curious about new developments in the industry and learn & adapt quickly Ability collaborating with cross-regional teams of diverse backgrounds to meet strategic and tactical objectives as well as serving as an individual contributor. Responsibilities: Develop low-level storage interfaces to enable advanced data discovery capabilities to identify sensitive data Design, implement, and operate large scale distributed systems to perform data discovery using scalable, reusable, and configurable frameworks / methodologies Define metrics and create / maintain dashboards for measuring and reporting key performance indicators (e.g., coverage, findings and remediations) Build and manage data inventories and data flow mappings by collecting and aggregating datasets from multiple data source systems Collaborate with both technical and business teams to gather functional requirements for in-house and external technologies to identify sensitive, high value data (e.g., consumer data, sensitive data, IP & source code) and ensure appropriate data protection controls are in place Keywords: cprogramm golang |
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| Mon Mar 11 22:09:00 UTC 2024 |