Senior Engineer Digital Distribution

Invesco Ltd.•Charlottetown, PE

1d•Hybrid

About The Position

As one of the world’s 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 you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. 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. 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.

Requirements

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, Terraform etc.
5-7 years of experience in building data pipelines in tools using Apache Airflow, Airbyte
Good understanding of ETL/ELT experience and good knowledge of SQL and query optimization techniques (ie DBT)
3-5 years of experience with Snowflake
Strong experience with databases such as Snowflake Postgres, Aurora, Athena
Strong programming experience with Python, Linux/bash scripting, Ansible
Experience using GitHub, Bit Bucket, or other code repository solution
Understanding and knowledge of Automated code Deployments CI/CD
BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience

Nice To Haves

Cortex AI and LLM prompt engineering

Responsibilities

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
Communicate with various business areas, partner on the formulation of technical requirements for data ingestion, verification, scheduling, etc.