Data Engineer

Summary

Designs and maintains ETL pipelines, data warehouses, and BI dashboards to deliver clean, reliable data for business decisions.

Job Overview

Job Responsibilities

Design, develop and maintain data ETL processes, ensuring they fulfill business needs and SLAs.
Facilitate technical planning and optimize the data infrastructure, models and pipelines to improve data platform stability.
Design and develop Data Products to drive business outcomes.
Collaborate with business stakeholders to understand their data needs and develop robust and scalable data models.
Develop processes to answer recurring business questions and identify opportunities for improvement.
Ensure data quality through continuous improvement and monitoring.

Requirements

At least 2 years of prior experience in the following technologies and languages:
- SQL/NoSQL and BI visualization (e.g., Tableau, Power BI, AWS Quicksight)
- Python or other related programming languages; developing and maintaining ELT/ETL scripts and pipelines
- Experience with data warehousing (e.g., AWS Redshift, Google BigQuery, Microsoft Azure SQL Data Warehouse)
Able to work closely with various internal teams and stakeholders to deliver tasks when required.
Data‑driven and highly organized.
Able to work independently; self‑organize, prioritize and execute tasks assigned.
Deadline‑oriented and self‑motivated, with the ability to think outside the box.
Experience with Agile, weekly sprint and release working models.
Strong command of English, both written and spoken.
Excellent communication skills – very good at inter‑ and intra‑team communication.
Team player who endorses a collaborative work style.