Principal Lead- Data Engineering

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.

About Our Company
Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP.

Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law.

Full time

(2:00p-10:30p)

AWMPO AWMP&S President's Office

Technology