
Sr Technology Engineer
2 weeks ago
We are hiring a Senior Technology Engineer with strong expertise in Hadoop-based Big Data ecosystems , automation, and DevOps tools. The role is pivotal in designing and implementing scalable, secure, and high-availability infrastructure, driving banking client’s data strategy by transforming data management and analytics platforms.
Key Responsibilities:- Hadoop Ecosystem Implementation:
Architect and manage big data solutions using Hadoop , Spark , Kafka , Hive , and related components. - Infrastructure as Code & Automation:
Build and maintain IaC using Terraform or Ansible . Ensure 100% automated deployment pipelines. - DevOps and CI/CD:
Design CI/CD pipelines using Jenkins , GitOps , and integrate with containerized environments (Docker/Kubernetes/OpenShift). - Security & Governance:
Implement enterprise-grade security mechanisms (e.g., Kerberos , LDAP , TLS ) and align with Data Governance best practices. - Monitoring and Optimization:
Set up observability tools (Prometheus, Grafana, ELK) and performance optimization processes. - Collaboration:
Work closely with cross-functional teams including architects, developers, and business analysts to translate requirements into reliable solutions.
- Education:
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - Experience:
8+ years in IT, with at least 3+ years in Big Data platforms and architecture.
Proven experience in the banking or financial services domain .
- Deep expertise in the Cloudera Hadoop (CDP) stack, including versions 7.1.7 to 7.1.9.
- Experience with Kerberos , LDAP/AD integration , and TLS security .
- Hands-on with CI/CD , Jenkins , Git , Linux CLI , Bash/Python scripting .
- Strong understanding of Distributed Data Architecture , Data Quality , Metadata Management , and Data Governance .
- Experience with BI tools like Power BI and Tableau is a plus.
- Excellent problem-solving, communication, and stakeholder management.
- Ability to work in fast-paced, matrixed environments.
- Self-driven, organized, and adaptable with mentoring capabilities.
- Hadoop/Big Data Certifications
- Kubernetes/OpenShift/Cloud certifications
- DevOps tools certifications
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