Data Engineer
As a data engineer part of TINYpulse Data Analytics team, you will design and build our data infrastructure from the ground up, and deliver BI solutions to the organization. You will have a chance to work with state-of-the-art data technologies, proposing data architectures, designing dimensional data models, and build awesome reports and dashboards. Down the road, you’ll also be exposed to the life-cycle of operationalizing machine learning models that provide predictive analysis to both internal stakeholders and external customers.
Responsibilities
- Extend, migrate existing data pipelines, reports and dashboards
- Design and build new data infrastructure as needed
- Responsible for SLA around data ingress, egress, data correctness and freshness
- Work with stakeholders to design and build high-level data entities
- Work with data analysts and data scientists to build reports and dashboards
- You will also be the machine learning engineer specialist, who will take care of model operationalization
Preferred Qualifications
- Expert level experiences in writing complex, optimized SQL queries
- Experience with data technologies: data warehousing, data lakes, data pipeline, reporting and dashboarding
- Experience with dimensional data modelling
- Proficiency in Python, Pandas is a plus
- Ability to work across functional teams
- Ability to quickly explore and learn new tools