Senior Associate Data Engineering

• Expertise in AWS services like EC2, CloudFormation, S3, IAM, ECS/EKS, EMR, QuickSight, SageMaker, Athena, Glue etc.
Expertise in Hadoop platform administration and good debugging skills to resolve hive and spark related issues.
• Experience in designing, developing, configuring, testing and deploying cloud automation preferably in AWS
• Experience in infrastructure provisioning using CloudFormation, Terraform, Ansible, etc.
• Experience in Python and Spark.
• Working knowledge of CI/CD tools and containers

Key Responsibilities

• Interpreting and analyzing business requirements and converting them into high and low level designs.
• Designing, developing, configuring, testing and deploying cloud automation for Finance business unit using tools such as CloudFormation, Terraform, Ansible etc. while following the capability domain’s Engineering standards in an Agile environment
• End-to-end ownership of developing, configuring, unit testing and deploying developed code with quality and minimal supervision. 
• Work closely with customers, business analysts and technology & project team to understand business requirements, drive the analysis and design of quality technical solutions that are aligned with business and technology strategies and comply with the organization's architectural standards.
• Understand and follow-up through change management procedures to implement project deliverables.
• Coordinate with support groups such as Enterprise Cloud Engineering teams, DevSecOps, Monitoring to get issues resolved with a quick turnaround time.
• Work with data science user community to address an issue in ML(machine learning) development life cycle.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science or similar field
• 4 to 7 years of experience in automation on a major cloud (AWS, Azure or GCP)
• Experience in infrastructure provisioning using Ansible, AWS Cloud formation or Terraform, Python or PowerShell
• Working knowledge of AWS Services such as EC2, Cloud Formation, IAM, S3, EMR, ECS/EKS etc.
• Working knowledge of CI/CD tools and containers.
• Experience in hadoop administration in resolving hive/spark related issues.
• Proven understanding of common development tools, patterns and practices for the cloud.
• Experience writing automated unit tests in a major programming language
• Proven ability to write quality code by following best practices and guidelines.
• Strong problem-solving, multi-tasking and organizational skills.
• Good written and verbal communication skills.
• Demonstrable experience of working on a team that is geographically dispersed.

Preferred Qualifications

• Experience with managing Hadoop platform and good in debugging hive/spark related issues.
• Cloud certification (AWS, Azure or GCP)
• Knowledge of Python and Pyspark

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