Data Engineer


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

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