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

- Explicit 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.

📌 Data Engineer (Bengaluru)
🏢 Embitel Technologies
📍 Bengaluru