Sr Engineer

Position: Sr Engineer I
This job is with Invesco, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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  Description

Job Description

Job Title:

Senior Data Engineer
Department:
BI & Analytics
Report To:
Shyam Sundar Uppu
Direct Reports:
No

As one of the world's leading asset managers, we are solely dedicated to delivering an investment experience that helps people get more out of life. If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, explore your potential at Invesco
The Department     Because Invesco understands data and the products created from data are the lifeblood of our business, we have created a global BI & Analytics Team within the Technology and Operations. Our mission is to empower leaders across the company with actionable data insights that drive informed decision-making. We deliver rich analytics solutions through our BI platform and custom web tools, enabling senior leaders to access, interpret, and act on critical business information.
Your Role     The Senior Data Engineer sits within the Business Intelligence & Analytics function as a part of the Tech and Ops, reporting to the Manager Data. The Engineer will be part of a small Team that owns the end-to-end process of managing the availability, reliability, and accessibility of data in a MS SQL data mart.
The role will be responsible for leading the creation, maintenance, and support of the data mart environment, including T-SQL tables, stored procedures, views, and functions. The Senior Data Engineer will be responsible for ensuring all process and data imports are functioning as designed and any issues are addressed in a timely and efficient manner. In addition, they will work on setting up and maintaining ETL processes for the data mart utilizing the most appropriate tool for the type connection and data source.
All work is done in partnership with their counterparts in other functions within Business Intelligence to ensure consistency of the data services and deliverables that BI & Analytics provides, as well as in partnership with their Business and/or Technology counterparts.

You will be responsible for:
Designing, developing, and maintaining robust database solutions to deliver actionable insights to leadership and cross-functional teams.

Building data models that support Business Intelligence (BI) and self-service reporting, adhering to both industry and function-specific standards.

Developing and maintaining data models optimized for analytics and reporting.

Writing complex, efficient SQL queries using best practices and modern methodologies.

Designing, building, and maintaining scalable ETL/ELT pipelines to ingest data from diverse internal and external sources.

Optimizing SQL queries and ETL jobs for performance and cost efficiency.

Ensuring the scalability, reliability, and maintainability of data pipelines.

Collaborating with BI developers and analysts to ensure data availability, quality, and usability.

Providing technical support for data-related issues and troubleshooting data pipeline failures.

Implement monitoring and alerting mechanisms for proactive issue detection.

Maintaining comprehensive documentation for data flows, schemas, and processes.

Continuously improving existing systems and processes by applying innovative solutions, best practices, and strategic thinking in data management.

Implementing processes to detect and resolve blocking, deadlocks, and inefficient queries.

Proactively addressing data quality issues and ensure data integrity across systems.

Owning the end-to-end data flow process and understanding various data types and their business context.

The experience you bring:
Minimum of 8 years of experience in a SQL Server database environment including database design, data loading/unloading, performance tuning, and security best practices.

Strong expertise in writing complex SQL queries using CTEs, subqueries, joins, and temporary tables.

Deep experience in developing SSIS packages and utilizing all data flow task transformations.

Solid experience with ETL/ELT processes and tools like AWS Glue, Airbyte, and dbt

Proficient in AWS cloud services such as S3, IAM Roles, Policies, and Lambda for database and data pipeline solutions.

Experience orchestrating data workflows using Apache Airflow and/or Stonebranch UAC, including workflow design, scheduling, monitoring, and troubleshooting.

Good to have knowledge on Snowflake, Airflow and Airbyte.

Strong knowledge of data…