{"id":493194,"url":"https://alion.io/job/aia-group-data-engineering-consultant-2","title":"Data Engineering Consultant","company":{"id":5838,"name":"AIA Group","domain":"aia.com","url":"https://alion.io/company/aia","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":224,"ghost_share":0.004,"stale_share":0.946,"repost_share":0.004,"time_to_fill_p50_days":31,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taguig, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":50000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":781},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false}],"status":"live","first_seen_at":"2025-02-04T00:00:00Z","employer_posted_date":"2025-02-04","last_verified_at":"2026-10-29T09:37:37Z","board_verified":true,"closed_at":null,"days_open":632,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":632},"description":"At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.\nAs pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.\nTo get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.\nIf you believe in developing a better tomorrow, read on.\nAbout the Role\nActs as a technical lead and subject matter expert for the team on data engineering technical stack and integration tools and standard processes used in analytics data management.Roles and Responsibilities:\nUnderstands, designs, develops, and expands data engineering technical stacks: ETLs, Data Stores, Data Warehouse, Data Lakes, Data Hubs, Data Governance, Visualization, Performance, Infrastructure, and Governance in either enterprise/ open source/ customized solutions or platforms.\n\nExpertise in tools and solutions related to data governance which includes but not limited to analyzing and visualizing diverse sources of data, discovering data sources, and making them available through ETL as part of the data democratization initiative. Applies data mining and wrangling on data.\n\nFinds opportunities to optimize the ETL environment, implements monitoring, quality, and validation processes to ensure data accuracy and integrity.\n\nProvides inputs in data governance to drive data governance charter. o Implements data pipelines to bring data at reach to platforms or tools used by various business units. Maintains development roadmap aligned with product and infrastructure objectives to support advanced data solutions.\n\nAnalyzes source data and data flows and building APIs or solutions for data consumption or integration to different tools.\n\nProvides domain expertise or support to data engineering technical stack post-production.\n\nDesigns and implements solutions for integration, streaming, processing, and storage of data. This also includes data in data warehouses, data lakes, and/or data hubs and handling of structured, semi-structured, and unstructured data.\n\nWorks with architects in contributing to the Data Analytics team on standard processes in backend infrastructure, cloud transformation, and distributed computing topics.\n\nHandles monitoring of all data cleansing/quality activities including support and mentorship to business users to support all reporting needs, data profiles.\n\nDevelops team’s data capabilities with sharing, implementing standard processes, and building a data-driven organization.\n\nMinimum Job Requirements:\nEducation: Bachelor’s Degree or equivalent experience in Computer Science or Engineering courses\nFields of Study: N/A\nIndustry: N/A\nYears of Experience: at least 10 years demonstrated ability in designing, building data warehouses or data lakes.\nGeneral Qualifications:\nInnovative, proactive, creative, well-organized, and able to easily adapt to various technologies.\n\nGreat interpersonal skills and excellent oral and written communication skills. Able to manage work with internal partners and vendors.\n\nWillingness and desire to learn new environment and tools and advance your knowledge. Keeps up to date with new research and integrated applications in data science field.\n\nAble to work with loosely defined requirements and exercise analytical skills to clarify questions, share methodology/approach, and build/test solutions.\n\nTechnical Qualifications:\nDemonstrates extensive experience in IT Transformation in Technology including cloud, dev sec ops, and integration.\n\nDemonstrates experience in ability to lead the building and maintenance of application lifecycle roadmaps aligned with the Enterprise Technology Roadmap and Enterprise Architecture.\n\nExperience in monitoring and managing IT risks mitigation plans, and strategies related to application domains and corresponding systems. Certifications / Licenses: N/A\n\nEqual Opportunity\nAt AIA, we strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to cultivate an inclusive work environment that accepts the strength of heritage and individuals. \nJoin AIA Now!\nBuild a career with us as we help our customers and the community live Healthier, Longer, Better Lives.\nYou must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. 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