Jobs
Required Skills
SQL
Python
Terraform
Docker
Kubernetes
Project Role: Application Support Engineer
Project Role Description: Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.
Must have skills: Data Engineering
Good to have skills: NA
Minimum 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.
- Dev
Ops & 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:
- Database Systems (RDBMS, No SQL and Cloud DB)
- Oracle and MS SQL or MySQL and MongoDB Postgres DB- Cloud DB.
- Infrastructure as a Code & Scripting
- Terraform or Ansible
- Shell Scripting and Python, Power Shell, Power CLi
- Public Cloud Iaa
S and Associated PaaS:
- AWS / Azure/ GCP - S3, Blobs, VPCs, v Net, LBs Cloud Watch, Stack Driver, Azure Mon
- Cloud Native and Containers
- PODMAN, Docker Openshift and AKS and GKE and EKE
- Operating Systems Platform
- Windows/ ADS or AIX and Solaris and HPUX
- Middleware (Web Servers, Message Qs, Managed Apps, MFT, Job Schedulers
- IIS, Apache, JBOSS, Web Sphere/ Web Logic MFTs, MQ Series, Control M or Autosys or TWS and MTFs
- Backup and Storage
- Commvault, IBM, Hitachi Backup, Cloud Front, Amazon S3, Azure Storage.
- Observability & Environment Health
- Observability tools (Nagios /Solar Winds/Netcool, Prometheus, ELK) and Environment Health and Capacity Management and Tech Debt and Fin Ops
- Enterprise AI
- Agentic AI Framework (CrewAI, Lang Graph, Auto Gen) and Responsible AI Concepts and AI Guardrails
Mandatory Certifications
- Database Type
Recommended Certifications:
- Database Type
- SQL / Relational DBs
- Oracle Database SQL Certified Associate
- Microsoft Certified: Azure Database Administrator Associate (DP-300)
- PostgreSQL
- EDB Certified Postgre
SQL Associate or Professional:
- MySQL
- Oracle Certified Professional, My
SQL Database Administrator:
- NoSQL / Modern DBs
- Mongo
DB Certified Developer or DBA:
- Cassandra Certified Developer / Administrator
Recommended Certifications:
- Data Engineering
- Databricks Certified Data Engineer Associate
- ETL & Big Data
- Cloud Professional Data Engineer
- Analytics
- Microsoft Power BI Data Analyst Associate (PL-300)
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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About Accenture

Accenture
PublicLet there be change.
10,001+
Employees
Dublin
Headquarters
Reviews
4.0
10 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.2
Career
4.1
Management
4.0
75%
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Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$63,830
total / year
Base
$25,532
Stock
$31,915
Bonus
$6,383
$44,681
$82,979
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
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