About the position
At Algonomy, we believe the future of our economy is Algorithmic, where businesses will develop resilient, adaptive and agile decisioning abilities that will constantly test and refine AI-driven actions to create the best personal experience for every individual customer at scale. We aim to become the algorithmic bridge between consumers and brands/retailers, and to lead our customers through the Algorithmic transformation imperative. The name Algo-nomy signifies an expertise in algorithms. As technology evolves our lives (and our clients') at hyper-speed, Algonomy stands as a bold, creative and agile brand; and these are also the very qualities that every digital-first business needs in order to be successful in the new normal. We are ambitious, we create category leading solutions in our markets, and we are constantly learning, inventing and adapting to stay ahead of our industry's needs.
Responsibilities
- Participates in a team-based, scrum development environment.
- Adheres to established best practices, standards, and agreed-upon design patterns for data and reporting application development and support.
- Analyzes and understands business users' requirements, clarifying inconsistencies, conflicts, or ambiguities, to effectively develop solutions that meet business needs.
- Responsible for the design, development, test, release, maintenance, and technical support of custom data applications such as data pipelines/ETLs/data processing/APIs.
- Performs data modeling and database design for data and reporting applications as well as other applications as needed.
- Performs analysis, design, and implementation of data migration as needed.
- Participates in design/code reviews.
- Documents data and reporting application implementations, configurations, and support requirements as needed.
- Creates deployment packages and instructions for releasing data and reporting applications across environments.
- Corrects reported incidents on data and reporting applications and releases fixes through the change control processes.
- Performs solution assessment as needed.
- Conducts proof of concept to guide technical implementation as needed.
Requirements
- A Bachelor's degree in Computer Science, Management Information Systems, or a closely related field from an accredited college or university is required.
- 6-7 Years of experience in the solution development life cycle for developing and maintaining data processing and reporting applications.
- Extensive experience with relational and multidimensional data modeling.
- Extensive experience with performance tuning and database design for SQL Server.
- Extensive experience with building Operational Data Stores, Data Marts, and/or Data Warehouses.
- Extensive experience working with non-relational data sources such as flat files, excel files, JSON files, and APIs.
- Familiarity with Self-Service Business Intelligence platform.
- Familiarity with data quality management and master data management.
- Experience in teaching and mentoring developers and/or users.
Nice-to-haves
- Retail/CPG exposure.
- Exposure to a cloud technology like AWS, Azure, Redshift, or GCP-based DBS.
