Data analyst ml/ai projects (1 2 years) Jobs

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Infra Tech Support Practitioner

Accenture -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

JBoss
CI/CD
RDBMS
Power BI
Cloud infrastructure
Azure
Oracle
Cassandra
Software troubleshooting
AIX
Ansible
Full-stack development
IIS
WebSphere
Big data
DevOps
Microsoft SQL Server
NoSQL
PaaS
Solaris
MongoDB
Windows
Technical support
Weblogic
Web servers
SQL
AWS
Docker
Machine learning
PostgreSQL
Terraform
Continuous integration
Azure Certification
REST
Solarwinds
APIs
Scalability
Agile
S3
Apache
DynamoDB
AI
RDS database
Python
Shell Scripting
IaaS
MySQL

Full job description

Project Role : Infra Tech Support Practitioner
Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting.
Must have skills : Machine Learning (ML)
Good to have skills : AI Agents & Workflow Integration, Data Modeling Techniques and Methodologies, Cloud Automation DevOps
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary
We're looking for a visionary Full Stack Data Engineer on cognitive Hybrid Cloud technologies across public and Private cloud Technologies (Thought leaders, Technical Leads and Practitioners) at senior career levels to work on business development, transformation and modernization solutions and technology crisis management. The focus is to manage client technology landscape and value add through innovation and though leadership, address complex technical challenges faced by our clients. We also have emerging research and collaboration with our eco-system partners which needs to be taken up for creating GTM Offerings, Co-Create Innovative Assets and developing new deal pipeline.

Key Responsibilities:

Engineer, Architect, manage, and optimize SQL and NoSQL databases (e.g., Pracle, MySQL, PostgreSQL, MongoDB, DynamoDB.), including schema design and query optimization.
Integrate and manage cloud platform services (preferably AWS), utilizing AWS-managed services such as Lambda, EC2, S3, RDS, and DynamoDB.
Develop RESTful APIs and ensure seamless front-end/back-end integration.
Automate infrastructure provisioning and deployments using Infrastructure as Code (CloudFormation, Terraform), and maintain CI/CD pipelines.
Ensure optimal performance, scalability, and security for databases and application stacks.
Monitor, troubleshoot, and resolve production issues for database and application layers.
Participate in code reviews, testing, and agile team collaboration

Support Full Stack Application Development

Support Implementation of authentication, authorization, and session management features.
Collaborate with designers to ensure intuitive UI/UX aligned with user needs.

DevOps & Cloud Integration

Deploy and maintain applications on cloud platforms (AWS, Azure, GCP).
Automate testing, CI/CD pipelines, and infrastructure as code where applicable.
Monitor application performance, troubleshoot issues, and optimize for scalability

Required Skills:

1. Database Systems (RDBMS, No SQL and Cloud DB):
- Oracle and MS SQL or MySQL and MongoDB Postgres DB- Cloud DB.
2. Infrastructure as a Code & Scripting:
- Terraform or Ansible - Shell Scripting and Python, Power Shell, Power CLi
3 Public Cloud IaaS and Associated PaaS:
- AWS / Azure/ GCP - S3, Blobs, VPCs, vNet, LBs Cloud Watch, Stack Driver, Azure Mon
4. Cloud Native and Containers:

PODMAN, Docker Openshift and AKS and GKE and EKE

5 Operating Systems Platform:

Windows/ ADS or AIX and Solaris and HPUX

6 Middleware (Web Servers, Message Qs, Managed Apps, MFT, Job Schedulers:

IIS, Apache, JBOSS, WebSphere/ Web Logic MFTs, MQ Series, Control M or Autosys or TWS and MTFs

7 Backup and Storage:

Commvault, IBM, Hitachi Backup, Cloud Front, Amazon S3, Azure Storage.

8 Observability & Environment Health:

observability tools (Nagios /SolarWinds/Netcool, Prometheus, ELK) and Environment Health and Capacity Management and Tech Debt and FinOps

9 Enterprise AI:

Agentic AI Framework (CrewAI, LangGraph, AutoGen) and Responsible AI Concepts and AI Guardrails

Mandatory Certifications:

1. SQL / Relational DBs
Oracle Database SQL Certified Associate
Microsoft Certified: Azure Database Administrator Associate (DP-300)
2. PostgreSQL
EDB Certified PostgreSQL Associate or Professional
3. MySQL
Oracle Certified Professional, MySQL Database Administrator
4. NoSQL / Modern DBs
MongoDB Certified Developer or DBA
Cassandra Certified Developer / Administrator

Recommended Certifications:

1. Data Engineering
Databricks Certified Data Engineer Associate
2. ETL & Big Data
Cloud Professional Data Engineer
3. Analytics
Microsoft Power BI Data Analyst Associate (PL-300)

Resource needs to be AI Ready.
AI Powered Tech Talent

15 years full time education

Apply Now

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