Data Engineer in Bangalore, भारत

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 https://jobeax.com/link/NdTDHzLvRYZUJLbW 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 https://jobeax.com/link/YJC4JMuorLSjVMnG & 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 https://jobeax.com/link/FvZNF70fnZnJxKoQ 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 https://jobeax.com/link/sFr8PJDwhKtDfr8V 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. (ref:hirist.tech)