Advanced Engineer, Digital Dist & Ent Engagement
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Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About Invesco
As one of the worlds leading independent global investment firms Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities we provide a wide range of investment strategies and vehicles to our clients around the world. If youre looking for challenging work intelligent colleagues and exposure across a global footprint come explore your potential at Invesco.
Whats in it for you
Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:
Flexible paid time off
Hybrid work schedule
401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
Health & wellbeing benefits
Parental Leave benefits
Employee stock purchase plan
Job Description
About the Department/Team:
The North America Client Transactions & Data team is to streamline access to Client Information. We provide predictable data that enables our partners to respond more nimbly and rapidly to our changing business environment. By centralizing and delivery of our client data as a product we provide transparent roadmaps while using a standardized consistent & predictable in engineering practices.
About the Role:
You will be responsible for supporting advanced analytics initiatives and data integration. Interact with Business Owners Product Owners Business Data Analysts and Application Developers to design build and manage large-scale batch and real-time data pipelines utilizing various data analytic frameworks. The position requires a strong technical hands-on-skilled engineer. A successful candidate must demonstrate strong analytical design programing and debugging skills in a large-scale analytics solutions.
Responsibilities of the Role:
Managing application and data integration platforms using AWS Cloud Components
Building robust data pipeline using modern data engineering practice in a Cloud architecture
Understand the business and enable the full life cycle of development/ reporting/ integration projects: planning design develop testing and rollout that confirms to Agile Standards
Responsible for Data availability /enablement for business reporting and analytics within the SLA
Create and manage data applications and technology architecture documentation and design artifacts
Help maintain the code and capability environment required to evolve data-driven analytical capabilities with the end goal of understanding customer behavior and competitive dynamics
Strong experience with writing complex programs implementing architectures and enabling automation in these environments
The role will be responsible for providing innovative operational solutions and best practices
Communicate with various business areas partner on the formulation of technical requirements for data ingestion verification scheduling etc.
Strong written and verbal communication skills.
Typically no supervisory responsibilities but may provide informal guidance to new Team members
Leads projects and processed
Requirements of the Role:
5-7 years of experience in data modeling data warehousing and big data architectures
5-7 years of experience of Amazon cloud (AWS) S3 RDS Lambda Glue SNS etc.
5-7 years of experience in building data pipelines in tools using Apache Airflow
Good understanding of ETL/ELT experience and good knowledge of SQL and query optimization techniques
3-5 years of experience with Snowflake.
Strong experience with databases such as Snowflake Postgres Aurora Athena
Strong programming experience with Python
Experience using GitHub Bit Bucket or other code repository solution
Understanding and knowledge of Automated code Deployments CI/CD
Familiarity with Agile Methodologies.
Financial/ Investment Management industry experience
Comfortable working with ambiguity (e.g. imperfect data loosely defined concepts ideas or goals) and translating these into more tangible outputs
BS in Computer Science Applied Mathematics Physics Statistics or area of study related to data sciences and data mining or relevant experience
Full Time / Part Time
Full timeWorker Type
EmployeeJob Exempt (Yes / No)
NoWorkplace Model
Pursuant to Invescos Workplace Policy employees are expected to comply with the firms most current workplace model which as of October 1 2025 includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships collaborate more easily and support each others growth and development.
The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.
Invescos culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race creed color religion sex gender gender identity sexual orientation marital status national origin citizenship status disability age or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
Required Experience:
IC
Key Skills
About Company
Invesco is an independent investment management firm dedicated to delivering an investment experience that helps people get more out of life. We have specialized investment teams managing investments across a comprehensive range of asset classes, investment styles and geographies, ... View more
