{"id":1498603,"url":"https://alion.io/job/amadeus-consulting-manager-data-engineer","title":"Manager Data Engineer","company":{"id":1650387,"name":"Amadeus Consulting","domain":"amadeus-consulting.ca","url":"https://alion.io/company/amadeus-consulting","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":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Master Data Management","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false},{"name":"SLI/SLO/SLA","optional":true},{"name":"Telegram","optional":true},{"name":"WhatsApp","optional":true}],"status":"live","first_seen_at":"2026-09-30T01:40:26Z","employer_posted_date":null,"last_verified_at":"2026-09-30T01:40:26Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Job Title\n\nManager Data Engineer\n\nRole Overview\n\nThe Data Engineering Manager / Team Lead will lead a high-performing data engineering team in a large-scale, fast-paced environment, managing both cloud and on-premise data platforms. This role is responsible for designing, building, and maintaining scalable data architecture, ETL pipelines, and data processing systems aligned with customer needs and business objectives.\n\nThis leader will drive technical excellence, operational efficiency, innovation, and AI adoption while managing delivery, people, and cross-functional collaboration.\n\nCore Responsibilities\n\nLeadership & Team Management\n\nLead and mentor a data engineering team, ensuring high technical and delivery standards.\nManage team capacity, delegation, sprint/user story assignments, and backlog prioritization.\nProvide technical coaching, code reviews, and guidance to engineers and senior specialists.\nDrive adoption of AI agents and AI-assisted development/documentation across the team.\nDeliver regular status updates, including weekly burndown and progress reporting.\n\nData Engineering & Architecture\n\nDesign, develop, and maintain scalable data pipelines, ETL workflows, and data architecture.\nBuild programs for data ingestion, transformation, validation, and integration.\nSupport migration of legacy/on-prem data systems to cloud data platforms.\nWork with structured and unstructured data across multiple formats.\n\nCloud & Modern Data Platform Engineering\n\nLead modernization initiatives across cloud-native platforms, with emphasis on:Azure CloudDatabricksAirflow / Azure Data Factory / Synapse PipelinesEvent-driven data systems (Kafka / Event Hub)\n\nOperational Excellence\n\nManage production data processes and respond to incidents/issues.\nEnsure system reliability, performance, and scalability.\nMonitor infrastructure utilization:CPUMemoryStorageNetwork\nImprove processes and reduce operational inefficiencies.\n\nStrategic & Cross-Functional Collaboration\n\nTranslate business requirements into technical solutions.\nWork effectively across multiple time zones and distributed teams.\nCollaborate with Product, Development, Operations, and Customer Support teams.\nCommunicate risks, dependencies, blockers, and mitigation plans to leadership.\n\nTechnical Requirements\n\nRequired Skills\n\nBig Data Engineering / Data Platform Management\nPython for ETL, orchestration, and automation\nAdvanced SQL development and performance tuning\nETL development and orchestration\nDatabase development (Oracle, MySQL, PostgreSQL, SQL Server)\nUNIX / Shell scripting\nJSON / API-based integrations\nMaster Data Management (MDM)\nCloud platforms (Azure preferred)\nData migration to cloud platforms\nEvent streaming / messaging systems:KafkaAzure Event HubSimilar queuing systems\n\nPreferred Skills\n\nDatabricks (Highly Preferred)\nApache Airflow\nKubernetes\nApache Spark\nApache Druid\nCouchbase / NoSQL databases\nAzure Synapse\nStambia\nAgile delivery methodologies\n\nKey Leadership Expectations\n\nThe Ideal Candidate Should Demonstrate\n\nStrong technical decision-making capability\nAbility to solve complex data engineering problems\nHigh ownership with minimal supervision\nStrong stakeholder management and communication skills\nAbility to balance strategic vision with hands-on technical leadership\nConfidence to make independent decisions and guide architecture direction\n\nKey Accountabilities\n\nPerform database integrity checks and corrective actions\nMaintain operational procedures and documentation\nEnsure external vendors/service providers meet SLA commitments\nSupport customer onboarding and product activation\nTroubleshoot functional and operational issues\nCoordinate with Product, Help Desk, Operations, and Development teams for escalations\nPrepare database correction requests and operational checklists\nMonitor customer satisfaction and address service issues proactively\n\nIdeal Candidate Profile\n\nA successful candidate is a hands-on technical leader with strong experience in modern data engineering, cloud migration, AI-enabled automation, and team leadership, capable of driving both strategic transformation and operational excellence.\n\nDiversity & Inclusion\n\nAmadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience. \n\nAmadeus is an equal opportunity employer and committed to an accessible recruitment process. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.\n\nBe aware of recruitment scams\n\nAmadeus Group never charges fees, requests payment, or asks for financial information during recruitment. All legitimate opportunities are communicated solely through official Amadeus channels, including our careers website. 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