Data Engineer

Key Responsibilities
Design, build, and maintain data pipelines supporting automated campaign management and monitoring.
Enable data load management and forecasting by processing and aggregating campaign‑related metrics.
Develop and maintain data models for campaign status, rollout progress, and batch‑level insights.
Ensure data quality, consistency, and reliability across integrated systems.
Collaborate with backend and frontend teams to expose analytics‑ready datasets and APIs.
Support near‑real‑time monitoring and reporting of campaign execution and system behavior.
Contribute to data observability, documentation, and continuous improvement of data workflows.
Technical Expertise
Solid experience with data engineering fundamentals and pipeline development.
Proficiency in SQL and working with structured and semi‑structured data.
Experience with cloud‑based data platforms and managed data services.
Familiarity with batch and streaming data processing concepts.
Experience integrating data from distributed systems and APIs.
Working knowledge of data validation, monitoring, and performance optimization.
Competencies & Skills
Strong analytical mindset with the ability to understand complex, domain‑driven data flows.
Ability to translate business and technical requirements into scalable data solutions.
Structured approach to data modeling and pipeline design.
Understanding of how data supports automation, monitoring, and decision‑making.
Capability to work independently on defined tasks while aligning with the overall data architecture.
Knowledge of data visualization and BI tools.
Soft skills
Clear communication with engineers, product managers, and stakeholders.
Collaborative, team‑oriented working style.
Ownership mentality for data products and pipelines.
Curiosity and willingness to continuously improve data solutions.
Reliability and attention to detail in data‑critical environments.
Nice to have
Experience with analytics or monitoring use cases in complex platforms.
Exposure to campaign, rollout, or deployment data.
Familiarity with event‑driven or near‑real‑time data architectures.
Interest in large‑scale automation, platforms, or data‑driven operations.

Work arrangement
Hybrid