
Senior Big Data Architect
6 days ago
We are seeking a skilled Big Data Engineer to lead the development of a scalable data platform.
Job DescriptionThis is a highly technical role that involves designing and implementing data pipelines, ensuring security, monitoring system performance, and collaborating with cross-functional teams to deliver high-performance data solutions.
- Design, develop, and optimize a Big Data Platform leveraging Kafka, Flink, Spark, and Talend.
- Architect and implement real-time and batch data processing pipelines.
- Ensure secure data access and governance using Apache Ranger.
- Monitor and optimize system performance with Prometheus.
- Develop and maintain ETL workflows and data ingestion pipelines.
- Write efficient and scalable SQL queries for data transformation and analysis.
- Collaborate with Data Scientists, Analysts, and DevOps teams to align data infrastructure with business goals.
- Implement data security, compliance, and access control policies.
- Troubleshoot and resolve issues related to data processing, storage, and system performance.
- 5+ years of experience in Big Data Engineering.
- Hands-on expertise in Kafka, Flink, Spark, Python, and Talend.
- Strong proficiency in SQL, with experience in query optimization and performance tuning.
- Familiarity with Apache Ranger for data security and access control.
- Familiarity with Prometheus for monitoring and performance optimization.
- Deep understanding of distributed computing, data partitioning, and pipeline orchestration.
- Experience with cloud-based big data solutions (AWS, Azure, or GCP) is a plus.
- Strong problem-solving and analytical skills.
- Excellent communication and leadership abilities.
- Experience with Docker, Kubernetes, and containerized big data deployments.
- Knowledge of workflow orchestration tools like Airflow.
- Hands-on experience with NoSQL databases (e.g., Cassandra, HBase).
Mid-Senior level position, Full-time employment, Engineering and Information Technology industry.
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