About the Role:

We are hiring a Senior Technology Engineer with robust 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.





Required Qualifications:
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.

Technical Skills:
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.

Soft Skills:
Excellent problem-solving, communication, and stakeholder management.
Ability to work in rapid-paced, matrixed settings.
Self-driven, organized, and adaptable with mentoring capabilities.

Preferred Certifications (Nice to Have):
Hadoop/Big Data Certifications
Kubernetes/OpenShift/Cloud certifications
DevOps tools certifications

📌 Sr Technology Engineer Hadoop Bengaluru (India)
🏢 Important Group
📍 India