{"id":1994749,"url":"https://alion.io/job/embitel-data-engineer","title":"Data Engineer","company":{"id":2892888,"name":"Embitel","domain":"embitel.com","url":"https://alion.io/company/embitel","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, 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quality, consistency, and reliability across integrated systems.\n\n- Collaborate with backend and frontend teams to expose analytics-ready datasets and APIs.\n\n- Support near-real-time monitoring and reporting of campaign execution and system behavior.\n\n- Contribute to data observability, documentation, and continuous improvement of data workflows.\n\nTechnical Expertise : \n\n- Solid experience with data engineering fundamentals and pipeline development.\n\n- Proficiency in SQL and working with structured and semi-structured data.\n\n- Experience with cloud-based data platforms and managed data services.\n\n- Familiarity with batch and streaming data processing concepts.\n\n- Experience integrating data from distributed systems and APIs.\n\n- Working knowledge of data validation, monitoring, and performance optimization.\n\nCompetencies & Skills : \n\n- Strong analytical mindset with the ability to understand complex, domain-driven data flows.\n\n- Ability to translate business and technical requirements into scalable data solutions.\n\n- Structured approach to data modeling and pipeline design.\n\n- Understanding of how data supports automation, monitoring, and decision-making.\n\n- Capability to work independently on defined tasks while aligning with the overall data architecture.\n\n- Knowledge of data visualization and BI tools.\n\nSoft Skills : \n\n- Clear communication with engineers, product managers, and stakeholders.\n\n- Collaborative, team-oriented working style.\n\n- Ownership mentality for data products and pipelines.\n\n- Curiosity and willingness to continuously improve data solutions.\n\n- Reliability and attention to detail in data-critical environments.\n\nNice to have : \n\n- Experience with analytics or monitoring use cases in complex platforms.\n\n- Exposure to campaign, rollout, or deployment data.\n\n- Familiarity with event-driven or near-real-time data architectures.\n\n- Interest in large-scale automation, platforms, or data-driven 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