{"id":3151482,"url":"https://alion.io/job/aliaxis-data-engineer-data-lake-ai-enablement","title":"Data Engineer - Data Lake & AI Enablement","company":{"id":2235916,"name":"Aliaxis","domain":"aliaxis.com","url":"https://alion.io/company/aliaxis-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":42,"ghost_share":0,"stale_share":0.929,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":27000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Glue","optional":false},{"name":"CI/CD","optional":false},{"name":"Cortex","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Copilot 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performance and data-loading SLAs.\n\n- Implement appropriate logging, testing, documentation and operational support for data pipelines.\n\n- Collaborate with source-system teams, analysts and business stakeholders to translate requirements into data solutions.\n\nData Science and AI Application Enablement:\n\n- Prepare analysis-ready and feature-ready datasets for Data Science and AI applications.\n\n- Collaborate with Data Scientists and AI developers to operationalize models and AI use cases.\n\n- Support integration of Snowflake Cortex AI, AWS Bedrock, APIs and related AI services with enterprise data platforms.\n\n- Build and maintain data pipelines required for model inference, AI agents and business applications.\n\n- Apply security, access-control and data-governance standards to datasets consumed by AI applications.\n\nMandatory Experience and Skills:\n\n- 3 to 5 years of overall experience, including at least 2 years of hands-on cloud data engineering experience.\n\n- Minimum 2 years of hands-on Snowflake experience, covering data modelling, SQL development, performance optimization and ETL/ELT integration.\n\n- Strong hands-on skills in advanced SQL and Python.\n\n- Understanding of data security, RBAC, lineage and governance concepts.\n\n- Hands-on experience with AWS Glue or a comparable cloud data-integration service.\n\n- Good understanding of dimensional modelling, data warehousing and lakehouse architecture.\n\n- Experience in data quality, pipeline monitoring, troubleshooting and performance optimization.\n\n- Working knowledge of Git, CI/CD and Agile software-delivery practices.\n\n- Strong analytical, problem-solving and stakeholder communication skills.\n\n- Bachelor's degree in Computer Science, Information Technology or a related discipline.\n\nGood to Have:\n\n- Exposure to Snowflake Cortex AI, AWS Bedrock, Copilot Studio or other GenAI platforms.\n\n- Experience supporting model deployment, inference pipelines, AI agents or AI-enabled applications.\n\n- Exposure to Finance, Accounts, Sales, Supply Chain or Manufacturing data domains.\n\nRole Positioning:\n\nThis is primarily a hands-on Snowflake Data Engineering role with responsibility for enabling Data Science and AI applications.\nSkills\nData Engineering, SQL, Python, AWS Glue, ETL, Data Warehousing, Data Modeling, Snowflake DB","description_format":"text","description_chars":2944,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Plastics & Polymers","Irrigation","Building Materials"],"lifecycle":[{"event":"open","at":"2026-10-23T12:29:10Z"}],"visa":[],"liveness":{"score":56,"band":"ok","label":"Likely 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