
Data Infrastructure Architect
2 days ago
Big Data Engineer
About the RoleWe are seeking a highly skilled Big Data Engineer to lead the development of a scalable Big Data Platform. This individual will have extensive experience with Kafka, Flink, Spark, Python, and Talend, along with expertise in Apache Ranger, Prometheus, and strong SQL skills.
Main Responsibilities- Data Platform Development: Design, develop, and optimize a Big Data Platform leveraging Kafka, Flink, Spark, and Talend.
- Data Pipelines Architecture: Architect and implement real-time and batch data processing pipelines.
- Data Security: Ensure secure data access and governance using Apache Ranger.
- System Performance Monitoring: Monitor and optimize system performance with Prometheus.
- ETL Workflows: Develop and maintain ETL workflows and data ingestion pipelines.
- SQL Query Optimization: Write efficient and scalable SQL queries for data transformation and analysis.
- Cross-Functional Collaboration: Collaborate with Data Scientists, Analysts, and DevOps teams to align data infrastructure with business goals.
- Data Compliance: Implement data security, compliance, and access control policies.
- Troubleshooting: Troubleshoot and resolve issues related to data processing, storage, and system performance.
- Big Data Engineering Experience: 5+ years of experience in Big Data Engineering.
- Technical Expertise: Hands-on expertise in Kafka, Flink, Spark, Python, and Talend.
- SQL Skills: Strong proficiency in SQL, with experience in query optimization and performance tuning.
- Data Security Knowledge: Familiarity with Apache Ranger for data security and access control.
- Prometheus Expertise: Familiarity with Prometheus for monitoring and performance optimization.
- Distributed Computing Understanding: Deep understanding of distributed computing, data partitioning, and pipeline orchestration.
- Cloud-Based Solutions: Experience with cloud-based big data solutions (AWS, Azure, or GCP) is a plus.
- Soft Skills: Strong problem-solving and analytical skills, excellent communication and leadership abilities.
Mid-Senior level
Employment TypeFull-time
Job FunctionEngineering and Information Technology
IndustryIT Services and IT Consulting
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