Data Engineer-1

Role Overview

As an expert Data Engineer, you will be part of the team developing the automated campaign management service within the DLCM Control Center, the central platform for orchestrating, monitoring, and optimizing large-scale campaigns. You will design and maintain data pipelines and data models that enable automated campaign planning, data load forecasting, rollout monitoring, and transparent campaign analytics, turning complex operational data into reliable, actionable insights.

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

• 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.