BI development / software engineering / information systems
leading visualization tools
Looker
Tableau
PowerBI
SQL
cloud platforms
Google Cloud Platform GCP
BigQuery
Cloud SQL
Cloud Storage
GitHub
Jira
Confluence
Preferred
scripting
Python
enterprise BI tools
MicroStrategy
MSTR
AI/ML
LookML
test cases
Responsibilities
Strong working experience with Looker, including developing and optimizing LookML models, looks, and custom dashboards.
Own the quality of your deliverables by executing unit test cases, validating datasets, troubleshooting issues, and reporting defects.
Requirements
What you’ll own Minimum 6 years of relevant experience in BI development, software engineering, or information systems.
5-7 years of experience in BI development using leading visualization tools (Looker, Tableau, and PowerBI).
Extensive knowledge and experience of SQL for querying data, creating views, tables, and functions, and writing validation/analytical scripts.
Hands-on exposure to cloud platforms is required, with preferred working experience on Google Cloud Platform (GCP) and its storage solutions (BigQuery, Cloud SQL, Cloud Storage, and Cloud Datastore).
Sound understanding of Data Warehousing (DW) concepts, dimensional modeling, and analytical frameworks.
Hands-on experience with software engineering and collaboration tools like GitHub, Rally, Jira, Confluence, and VSTS.
Strong analytical and quantitative skills to manage highly complex information, assess problems, and develop effective technical solutions.
Excellent written and verbal communication skills with the ability to convey complex technical information in a clear and concise manner to both business and tech teams.
A Technical degree in Software Engineering, Information Systems, or a related field (additional professional experience in lieu of a degree will be considered).
Design, develop, and maintain LookML models, interactive dashboards, and reports across BI platforms to deliver actionable commercial insights and scalable analytical solutions.
Collaborate closely with business stakeholders to understand complex product requirements and translate them into effective, intuitive data visualizations.
Support regression testing for business intelligence and analytics applications deployed on Cloud environments.
Work closely with application development, architecture, and infrastructure teams to automate pipelines and optimize reporting performance.
Deliver high-quality software by working in a dynamic, collaborative, and team-focused Agile/Scrum environment.
Introduce and enhance non-functional capabilities such as dashboard security, responsive design, and query performance tuning. • • Manage multiple priorities effectively under aggressive timelines and support regular software releases.
Preferred
Advanced scripting skills in Python.
Expertise in other enterprise BI tools such as MicroStrategy (MSTR).
A good understanding of the Payments or FinTech domain.
Basic understanding or exposure to AI/ML concepts.
