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Engineering Manager, Big Data
ZipRecruiter. Lead, mentor, and unblock a senior team of five engineers responsible for core job ingestion pipelines and data stores .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading engineering teams and improving data ingestion pipelines while ensuring high data quality and performance. Proficient in modern big data frameworks and containerization technologies to support scalable solutions.
Highest-signal resume keywords
Software Engineering LeadershipBig Data FrameworksStreaming TechnologiesContainerization TechnologiesProduct-Oriented Problem-Solving
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentData StructuresAlgorithmsData IngestionData Quality ImprovementFraud DetectionData IntegrationData MigrationCoding SkillsReal-Time Data Processing
Soft Skills
MentoringCollaborationProblem-Solving
Tools & Technologies
SparkHadoopHiveKafkaFlinkBeamDockerKubernetes
Industry Keywords
B2C ProductB2B ProductUser-Generated ContentData PipelinesJob Intelligence
Tech Stack
Tools & technologiesDockerHadoopKafkaKubernetesSpark
About the role
Key responsibilities & impact- Lead, mentor, and unblock a senior team of five engineers responsible for core job ingestion pipelines and data stores
- Drive the rebuild of the job ingestion pipeline and refine how job data is exposed to consuming engineering teams
- Prioritize initiatives that improve input data quality and handle low-structure, user-generated content
- Own and lead improvements to fraud detection and blocking mechanisms
- Partner with Engineering stakeholders, Data Scientists, and a Product Manager to balance requests and roadmap priorities
- Scale data pipelines for performance and maintainability
- Enable scalable real-time action on job intelligence and support personalized job seeker experiences
Requirements
What you’ll need- 5+ years of professional software development experience
- 2+ years of experience as a software engineering leader
- Deep experience with modern big data frameworks, such as Spark, Hadoop, and Hive
- Experience with streaming technologies, including Kafka, Flink, and Beam
- Strong computer science fundamentals in data structures and algorithms
- Strong coding skills
- Experience with containerization technologies such as Docker and Kubernetes
- Experience working on a B2C or B2B product
- Experience dealing with messy or unreliable data, including third-party datasets, data integrations, and migrations
- Product-oriented problem-solving ability and understanding of the product worked on
Benefits
Comp & perks- Competitive compensation
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Employer-matched 401(k) plan
- Medical, financial, and other benefits
- Equity, bonuses, commission, or other forms of compensation may also be provided depending on the position offered