Key Responsibilities

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- Design, build, and maintain data pipelines supporting automated campaign management and monitoring.
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- Enable data load management and forecasting by processing and aggregating campaign‑related metrics.
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- Develop and maintain data models for campaign status, rollout progress, and batch‑level insights.
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- Ensure data quality, consistency, and reliability across integrated systems.
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- Collaborate with backend and frontend teams to expose analytics‑ready datasets and APIs.
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- Support near‑real‑time monitoring and reporting of campaign execution and system behavior.
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- Contribute to data observability, documentation, and continuous improvement of data workflows.
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nTechnical Expertise

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- Solid experience with data engineering fundamentals and pipeline development.
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- Proficiency in SQL and working with structured and semi‑structured data.
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- Experience with cloud‑based data platforms and managed data services.
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- Familiarity with batch and streaming data processing concepts.
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- Experience integrating data from distributed systems and APIs.
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- Working knowledge of data validation, monitoring, and performance optimization.
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nCompetencies & Skills

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- Strong analytical mindset with the ability to understand complex, domain‑driven data flows.
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- Ability to translate business and technical requirements into scalable data solutions.
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- Structured approach to data modeling and pipeline design.
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- Understanding of how data supports automation, monitoring, and decision‑making.
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- Capability to work independently on defined tasks while aligning with the overall data architecture.
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- Knowledge of data visualization and BI tools.
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nSoft skills

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- Explicit communication with engineers, product managers, and stakeholders.
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- Collaborative, team‑oriented working style.
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- Ownership mentality for data products and pipelines.
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- Curiosity and willingness to continuously improve data solutions.
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- Reliability and attention to detail in data‑critical environments.
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nNice to have

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- Experience with analytics or monitoring use cases in complex platforms.
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- Exposure to campaign, rollout, or deployment data.
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- Familiarity with event‑driven or near‑real‑time data architectures.
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- Interest in large‑scale automation, platforms, or data‑driven operations.
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📌 Data Engineer (Bengaluru)
🏢 Embitel Technologies
📍 Bengaluru