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
3 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
- Design, develop, and maintain database-driven web applications covering both front-end and back-end.
- Develop responsive user interfaces using technologies like HTML, CSS, JavaScript, and modern frameworks such as React or Angular.
- Implement robust back-end services and APIs using server-side languages like Java, Node.js, Python, or .NET.
- Architect, manage, and optimize SQL and NoSQL databases (e.g., Pracle, MySQL, PostgreSQL, MongoDB, DynamoDB.), including schema eesign 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 Build responsive, dynamic web applications using modern front-end frameworks (e.g., React, Angular, Vue.js).
- Support Development backend services using languages such as Node.js, Python, Java, or .NET.
- 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:
- 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 IaaS and Associated PaaS
- AWS / Azure/ GCP - S3, Blobs, VPCs, vNet, 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, WebSphere/ 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 /SolarWinds/Netcool, Prometheus, ELK) and Environment Health and Capacity Management and Tech Debt and FinOps
- Enterprise AI
- Agentic AI Framework (CrewAI, LangGraph, AutoGen) and Responsible AI Concepts and AI Guardrails
Mandatory Certifications
- Database Type Recommended Certifications
- SQL / Relational DBs Oracle Database SQL Certified Associate
- Microsoft Certified: Azure Database Administrator Associate (DP-300)
- PostgreSQL EDB Certified PostgreSQL Associate or Professional
- MySQL Oracle Certified Professional, MySQL Database Administrator
- NoSQL / Modern DBs MongoDB Certified Developer or DBA
- Cassandra Certified Developer / Administrator
Recommended Certifications:
- Focus Area 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)
- Resource should be AI ready
- AI Powered Tech Talent
