Hadoop Architect
4 days ago
**Architectural Leadership**:
- Design and architect robust, scalable, and high-performance Hadoop solutions.
- Define and implement data architecture strategies, standards, and processes.
- Collaborate with senior leadership to align data strategies with business goals.
- **Technical Expertise**:
- Develop and maintain complex data processing systems using Hadoop and its ecosystem (HDFS, YARN, MapReduce, Hive, HBase, Pig, etc.).
- Ensure optimal performance and scalability of Hadoop clusters.
- **Strategic Planning**:
- Develop long-term plans for data architecture, considering emerging technologies and future trends.
- Evaluate and recommend new technologies and tools to enhance the Hadoop ecosystem.
- Lead the adoption of big data best practices and methodologies.
- **Team Leadership and Collaboration**:
- Mentor and guide data engineers and developers, fostering a culture of continuous improvement.
- Work closely with data scientists, analysts, and other stakeholders to understand requirements and deliver high-quality solutions.
- Ensure effective communication and collaboration across all teams involved in data projects.
- **Project Management**:
- Lead large-scale data projects from inception to completion, ensuring timely delivery and high quality.
- Manage project resources, budgets, and timelines effectively.
- Monitor project progress and address any issues or risks promptly.
- **Data Governance and Security**:
- Implement robust data governance policies and procedures to ensure data quality and compliance.
- Ensure data security and privacy by implementing appropriate measures and controls.
- Conduct regular audits and reviews of data systems to ensure compliance with industry standards and regulations.
**Job Types**: Full-time, Permanent
Pay: ₹2,000,000.70 - ₹4,000,000.99 per year
Schedule:
- Day shift
- Monday to Friday
Application Question(s):
- Are you proficient in Hadoop and its ecosystem (HDFS, MapReduce, YARN, Hive, Pig, HBase, etc.).
- Do you have minimum of 10 years of experience in data engineering and Hadoop architecture?
- Do you have strong programming skills in Java, Scala or Python?
- Do you have experience in ETL tools and Data Integration frameworks?
- What cloud platform are you familiar with? AWS, Google, Oracle?
- Do you have the knowledge of SQL & NoSQL databases?
Work Location: In person
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