Data Engineer

Atlanta, United States

Invesco

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As one of the world’s leading asset managers, Invesco is dedicated to helping investors worldwide achieve their financial objectives. 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, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day!

Job Description

Your 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.

Your 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.


You Will Be Responsible For:
 

  • 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.

The Experience You Bring:

  • 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

Business Acumen

  • Familiarity with Agile Methodologies.
  • Financial/ Investment Management industry experience

Problem Solving

  • Comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs

Leadership

  • Typically, no supervisory responsibilities but may provide informal guidance to new Team members
  • Leads projects and processed

Education Required

  • 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 time

Worker Type

Employee

Job Exempt (Yes / No)

Yes

Workplace Model

At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office. 

What’s 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

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.

Invesco's 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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Airflow Architecture Athena AWS Big Data CI/CD Computer Science Data Mining Data pipelines Data Warehousing ELT Engineering ETL GitHub Lambda Mathematics Physics Pipelines PostgreSQL Python Snowflake SQL Statistics Testing

Perks/benefits: Competitive pay Equity / stock options Flex hours Flex vacation Health care Parental leave

Region: North America
Country: United States

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