{"id":877028,"url":"https://alion.io/job/unifocus-lead-data-engineer","title":"Lead Data Engineer","company":{"id":698095,"name":"Unifocus","domain":"unifocus.com","url":"https://alion.io/company/unifocus","size_band":"51-200","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Breezy","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":66000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":328},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Amazon S3","optional":true},{"name":"Apache HTTP Server","optional":true},{"name":"Apache Hudi","optional":true},{"name":"Apache Iceberg","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Delta Lake","optional":true},{"name":"Flink","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-08-19T07:23:37Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-09-24T05:00:12Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"Job Description\nUnifocus is an integrated workforce management software platform offering intelligent automation for daily work orders management, housekeeping activities, facility maintenance, survey solutions, scheduling & labour management, and time & attendance built for the hospitality market and other dynamic scheduling environment.\nWe support hotels, restaurants, casinos, and more with our innovative web-based and mobile software suite. Some of the chains we work with include Hilton, Rosewood, Shangri La, Accor, IHG, Hoxton, Corinthia, Oetker Collection etc. We are a small but growing team, and you'll have opportunities to express yourself and make meaningful contributions to our products and the company.\nVisit https://www.unifocus.com for more details.\nAbout:\nJoin our team as a Lead Data Engineer and contribute to our mission of leveraging data to drive meaningful insights, deliver innovative solutions for our clients and partner with us to become an AI-first organization.\nWhat will you do?\nYou will be the lead data engineer on our greenfield data platform and key contributor to its success.\nEmbed AI in all phases of data lifecycle.\nDesign, develop and own robust data pipelines, ensuring optimal performance, scalability, and maintainability. \nDesign and implement Data Lake, Dare Warehouse and Lakehouse solutions with differentarchitecture patterns.\n\nEnsure data quality, integrity and governance across all stages of data lifecycle.\n Monitor and optimize performance of data engineering pipelines.\nContribute to design principles, best practices, and documentation. \nCollaborate closely with cross-functional teams to deeply understand business requirements,translating them into effective technical design, implementations that support the organization's\ndata-driven initiatives. \n\nLead a team of data engineers, guide them, mentor them, and review their technical implementation.\nPromote a culture of continuous learning and skills development.\nExpand the horizon to all facets of data landscape.\nWe are looking for:\nBachelor's degree in computer science, Information Systems, or a related field. Master's degree is a plus.\nAI-first mindset, design-thinking, innovative personality, technical ownership.\nA seasoned Data Engineer or emerging data architect with a minimum of 8-10 years of experience.\nDeep experience in designing and building robust, scalable data pipelines - both batch and real-time\nusing modern data engineering tools and frameworks.\nProficiency in AWS Data Services (S3, Glue, Athena, EMR, Kinesis etc.).\nStrong grip on SQL queries, various file formats like Apache Parquet, Delta Lake, Apache Iceberg orHudi and CDC patterns.\n\nExperience in stream processing frameworks like Apache Flink or Kafka Streams or any otherdistributed data processing frameworks like pySpark.\n\nExpertise in workflow orchestration using Apache Airflow.Strong analytical and problem-solving skills, with the ability to work independently in a fast-paced\nenvironment.\n\nIn-depth knowledge of database systems (both relational and NoSQL) and experience with datawarehousing concepts.\n\nHands-on experience with data integration tools and a strong familiarity with cloud-based datawarehousing and processing is highly desirable.\n\nExcellent communication and interpersonal skills, facilitating effective collaboration with bothtechnical and non-technical stakeholders.\n\nA strong desire to stay current with emerging technologies and industry best practices in datalandscape. \n\nThe Unifocus experience:\nOur Culture Statement: Thriving Together, Achieving Greatness\nTo support our culture mission, we have four core culture values of Unite, Inspire, Empower, and Excel. Each value representing a set of key traits that define how we live and breathe our culture every day.\nWe UNITE globally, combining our diverse talents, perspectives, and expertise. With professionalism and a touch of fun, we inspire and empower each other to excel. Together, we deliver exceptional value, challenge norms, and leave a lasting impact within the hospitality industry.\nIn addition to a competitive salary, we offer:\nHealth insurance\nPaid time off\nA hybrid environment that promotes a healthy work-life balance\nParental leave\nProfessional development assistance\nReferral program","description_format":"text","description_chars":4282,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Health insurance","Parental leave","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Travel & Tourism","Human Resources"],"lifecycle":[{"event":"open","at":"2026-09-13T21:41:40Z"}],"liveness":{"score":34,"band":"fade","label":"Fading","p_open":1,"p_active":0.626,"p_room":0.55,"age_days":35,"expected_fill_days":35,"reasons":["conf:0","win:tail"],"computed_at":"2026-09-24T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/unifocus-lead-data-engineer","json_url":"https://alion.io/job/unifocus-lead-data-engineer.json","meta":{"generated_at":"2026-09-24T08:39:45Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}