Big Data Quality Mgt. Specialist
2 weeks ago
**Role Purpose**:
The role involves working on big data quality pipelines, monitoring workflow performance and data trends, administering full DB clusters, managing vendor communications, and performing system upgrades.
**Key Accountabilities & Decision Ownership**:
- **
Operations Management**:Take ownership of day-to-day operations, ensuring smooth functioning, availability, and reliability of the big data platform.
- ** System Monitoring and Maintenance**:Proactively monitor and address issues or bottlenecks in the health and performance of the big data system.
- ** Infrastructure Management**:Manage the provisioning, configuration, and optimization of servers, storage, and job workflows supporting the big data platform.
- ** Performance Optimization**: Optimize the performance of the big data system by tuning configurations, workflows, and addressing bottlenecks.
- ** Security Measures**:Make decisions on implementing security measures like access controls, encryption, and security patches.
- Ensure data delivery and availability through health checks and quality alerts.
- Tune operational jobs and services in BI and BD clusters and set up quality gates and alerts to not impact business trends
- Provide technical leadership and training for newcomers.
- Handle Cloudera manager services administration.
- Take responsibility for cluster resources, storage health, and vendor actions.
**Core Competencies, Knowledge, and Experience**:
- **Passionate about quality**:
- A love of writing a bugs-free code, tuning and analysis through a rigorous scientific approach.
- ** Agile** - Time spent working on closely-knit teams using Agile methodologies such as Scrum and kanban.
- ** Team Player**:
- You enjoy collaborating with, learning from, and teaching others so we all can become better. You assume the good intent in others, and actively do your part to create a positive work environment.
- ** Empathy for customers** - A desire to serve customers first. You love to help Vodafone’s customer to get them happy with your developed feature.
**Must have technical / professional qualifications**:
- Bachelor of computer Science or related domains
- 3+ years of Engineering Experience in building and supporting mission critical user-facing, large-scale and distributed systems.
- Excellent experience in open source technologies like Java, Scala, Python, C/C++, NoSQL, node.js, Angular, AWS, Kafka, Cassandra, Zookeeper..
- Understanding of distributed storage systems like Hadoop Distributed File System (HDFS).
- Knowledge of data processing frameworks, such as Apache Hadoop (MapReduce), Apache Spark, Apache Flink, etc.
- Proficiency in working with Big Data frameworks and technologies, including Apache Hadoop, Apache Spark, Apache Kafka, etc.
- Experience with tools like Apache Hive, Apache Pig, and others for data processing.
- Understanding of data warehousing concepts and technologies Familiarity with ETL tools and processes for efficiently moving and transforming data
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