Industry Consulting Manager

NTT DATA Business Solutions

5 - 10 years

7 - 12 Lacs

Pune

Posted:1 day ago| Platform:

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Skills Required

Version control GIT Infrastructure management Artificial Intelligence DNS splunk Unit testing Apache SDLC Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Req ID: 332013

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Industry Consulting Manager to join our team in Pune, Mah r shtra (IN-MH), India (IN).

Key Responsibilities

Development & Build:
Build and maintain a robust, scalable
real-time data streaming platform
leveraging
AWS
and
Confluent Cloud Infrastructure
.
AWS Services:

strong knowledge of AWS services
, particularly those relevant to
stream processing and serverless components like Lambda Functions
.
Performance Monitoring:
Continuously monitor and troubleshoot
streaming platform performance issues
to ensure optimal functionality.
Collaboration:
Work closely with
cross-functional teams
to onboard various data products into the streaming platform and support existing implementations.
Version Control:
Manage code using
Git
, ensuring best practices in
version control
are followed.
Infrastructure as Code (IaC):
Apply expertise in
Terraform
for efficient
infrastructure management
.
CI/CD Practices:
Implement robust
CI/CD pipelines
using
GitHub Actions
to automate deployment workflows.

Mandatory Skillsets

The candidate must have:

Strong proficiency in AWS services
, including
IAM Roles, Access Control RBAC, S3, Containerized Lambda Functions, VPC, Security Groups, RDS, MemoryDB, NACL, CloudWatch, DNS, Network Load Balancer, Directory Services and Identity Federation, AWS Tagging Configuration, Certificate Management
, etc.
Hands-on experience in Kubernetes (EKS)
, with expertise in
Imperative and Declarative approaches
for managing resources/services like
Pods, Deployments, Secrets, ConfigMaps, DaemonSets, Services, IRSA, Helm Charts
, and deployment tools like
ArgoCD
.
Expertise in Datadog
, including integration, monitoring key metrics and logs, and creating meaningful dashboards and alerts.
Strong understanding of Docker
, including containerisation and image creation.
Excellent programming skills in Python and Go
, capable of writing efficient scripts.
Familiarity with Git concepts
for version control.
Deep knowledge of Infrastructure as Code principles
, particularly
Terraform
.
Experience with CI/CD tools
, specifically
GitHub Actions
.
Understanding of security best practices
, including knowledge of
Snyk, Sonar Cloud, and Code Scene
.

Nice-to-Have Skillsets

Prior experience with
streaming platforms
, particularly
Apache Kafka
(including producer and consumer applications).
Knowledge of
unit testing
around Kafka topics, consumers, and producers.
Experience with
Splunk integration
for logging and monitoring.
Familiarity with
Software Development Life Cycle (SDLC)
principles.

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