Site Reliability Engineer- Data Platform

7 days ago

Bangalore Urban, India PhonePe Full time

Site Reliability Engineer - Data Platform

Job Overview:

As a Site Reliability Engineer (SRE) specializing in Data Platform, you will play a

critical role in deployment, ensuring the reliability, scalability, and performance of our

data infrastructure. You will collaborate closely with cross-functional teams to

design, implement, and maintain robust systems that support our data-driven

initiatives. The ideal candidate will be able to write robust code that helps in

provisioning infrastructure components in Cloud / OnPrem. You will play a pivotal

role in ensuring the smooth functioning, operation, performance and security of large

high density Data infrastructure.

Key Responsibilities:

1. Configuration Management: Hands On Experience in Terraform / Ansible

to automate Cloud / OnPrem provisioning.

2. Infrastructure Management: Manage and maintain the Cloudera-based

infrastructure, ensuring optimal performance, high availability, and

scalability. This includes monitoring system health, troubleshooting

issues, and performing routine maintenance tasks.

3. Data Security and Compliance: Implement and enforce security best

practices to safeguard data integrity and confidentiality within the Data

environment. Ensure compliance with relevant regulations and standards

(e.g., GDPR, HIPAA, DPR).

4. Performance Optimization: Continuously optimize the Data infrastructure

to enhance performance, efficiency, and cost-effectiveness. Identify and

resolve bottlenecks, tune configurations, and implement best practices

for resource utilization.

5. Capacity Planning: Monitor resource utilization trends and plan for future

capacity needs. Proactively identify potential capacity constraints and

propose solutions to address them.

6. Backup and Disaster Recovery: Implement robust backup and disaster

recovery strategies to ensure data protection and business continuity.

Test and maintain backup and recovery procedures regularly.

7. Patches & Upgrades: Routinely apply recommended patches and perform

rolling upgrades of the platform in accordance with the advisory from

Cloudera, InfoSec and Compliance.

8. Documentation and Knowledge Sharing: Create comprehensive

documentation for configurations, processes, and procedures related to

the Data Platform. Share knowledge and best practices with team

members to foster continuous learning and improvement.

9. Collaboration and Communication: Collaborate effectively with

cross-functional teams including data engineers, developers, and IT

operations personnel. Communicate project status, issues, and

resolutions clearly and promptly.

Qualifications:

1. Bachelor's degree in Computer Science, Engineering, or related field.

2. Proficiency in Linux system administration, shell scripting, and

networking concepts.

3. 3 to 8 years of experience in Infrastructure Automation.

4. Hands-on experience with configuration management tools (e.g.,

Terraform, Salt, Ansible, Puppet, Chef).

5. Strong scripting skills (e.g., Python, Bash) for automation and

troubleshooting.

6. Experience with monitoring and logging solutions (e.g., Prometheus,

Grafana, ELK stack).

7. Knowledge of networking principles and protocols (TCP/IP, UDP, DNS,

DHCP, etc.).

8. Experience with managing *nix based machines and strong working

knowledge of quintessential Unix programs and tools (e.g. Ubuntu,

Fedora, Redhat, etc.)

9. Excellent communication skills and the ability to collaborate effectively

with cross-functional teams.

10.Excellent analytical, problem-solving, and troubleshooting skills..

11.Proven ability to work well under pressure and manage multiple priorities

simultaneously.

Good To Have:

1. Exposure in cloud platforms like Azure or AWS.

2. Understanding of distributed computing principles and experience with

Hadoop ecosystem technologies (HDFS, MapReduce, YARN, Hive,

Spark, etc.).

3. Familiarity with Open Data Lake components such as Ozone, Iceberg,

Spark, Flink, etc.

4. Familiarity with containerization and orchestration technologies (e.g.

Docker, Kubernetes, OpenShift) is a plu

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