Principal Lead- Application Development

Job description
Lead Cloud Engineer with 10-14 years of experience in developing applications using Java, Python, Golang and has good understanding of cloud technologies.
Knowledge of container environments like Docker, Kubernetes.
Experience in Test-driven development, CI/CD process, continuous testing, Agile/Scrum practices with Github / Jira / Jenkins / Collaborator or similar platforms.
Experience with common open-source tools platforms
The candidate is expected to have strong debugging, triaging and troubleshooting skills.
Key Responsibilities
Planning
- Work in partnership with the project team and business to fully understand project goals and requirements and use this knowledge to effectively plan and execute the development process.
- Actively participate in the code review process to ensure development work adheres to standards and specifications (including peer review and code review external to team).
- Provide technical guidance to the development team through the full software life cycle.
- Expected to conduct analysis and impact assessments, define and provide options and effort /duration estimates to leaders for approval
Design & Build
- Create low level design documents (including code samples/outlines) and detailed engineering specifications based on complex business, user and non-functional (e.g., performance, reliability, balance and controls) requirements.
- Write code, adhering to coding standards, procedures and techniques.
- Maintain integrity of existing program logic according to specifications. Complete project deliverables using the Software Development Life Cycle (SDLC).
- Conduct design reviews
- Define and develop unit test plan and provide integration and business test planning input
Review & Document
- Write and/or revise system design documentation and operations documentation providing input into operation support manuals and user guides.
- Create and properly archive all project / technical documentation.
- Ability to manage workload and deadlines
Test & Execute
- Unit test all code and programs prior to releasing them to quality assurance.
- Quickly resolve all unit test issues.
- Assist quality assurance in identifying test cases and creating/mining test data to enable a thorough test of all development deliverables.
- Respond to all inquiries and issues in a timely manner as developed code/program moves through the testing process and into production.
- Provide implementation/production support as required.
Leadership
-Responsible for providing guidance, coaching and mentoring the team members and also accountable for performance appraisals
-Develop and maintain a high-performing team through effective hiring, vendor partner management, coaching and performance management.
Asset Stewardship & Troubleshooting
- Improve the health of system assets by identifying enhancements to improve performance, reliability, and resource consumption.
Process & Technical Guidance
Maintain Skill Set & Relationships
- Maintain up-to-date business domain knowledge and technical skills in software development technologies and methodologies.
- Establish and maintain effective working relationships with business partners and project teams.
Required Qualifications
Bachelor s degree or equivalent in Computer Science, Engineering, or related field; or equivalent work experience.
10-13 years of proven experience in Data Engineering
At least 5+ years of experience on AWS Cloud
Strong understanding in data warehousing principals and data modeling
Experience with AI/ML Ops - model build through implementation lifecycle in AWS Cloud environment
Expert with SQL including knowledge of advanced query optimization techniques - build queries and data visualizations to support business use cases/analytics.
Proven experience on the AWS environment including access governance, infrastructure changes and implementation of CI/CD processes to support automated development and deployment
Proven experience with software tools including Pyspark and Python, PowerBI, QuickSite and core AWS tools such as Lambda, RDS, Cloudwatch, Cloudtrail, SNS, SQS, etc.
Hands-on experience on Snowflake
Experience building services/APIs on AWS Cloud environment.
Data ingestion and curation as well as implementation of data pipelines.
Experience working and leading vendor partner (on- and off-shore) resources.
Preferred Qualifications
Experience in Informatica/ETL technology.
Experience in DevOps and microservices would be preferred.
Experience in Financial industry a plus.
Role: Software Development - Other
Industry Type: Financial Services
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: Software Development
Education
UG: Any Graduate
PG: Any Postgraduate
Key Skills
Manager Quality AssuranceProduction supportData modelingApplication developmentInformaticaTroubleshootingOpen sourceSDLCSQLPython