{"id":3611975,"url":"https://alion.io/job/aliaxis-data-engineer","title":"Data Engineer","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":44,"ghost_share":0,"stale_share":0.932,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","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":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Glue","optional":false},{"name":"Copilot Studio","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-02T14:40:19Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-04T06:05:42Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Responsibilities:\nLead the architecture, design, and development of data warehousing solutions.\n\nProvide technical guidance and mentorship to the data engineering team.\n\nEnsure best practices in data warehousing, ETL / ELT processes, and data integration.\n\nDesign, develop, and optimize ETL / ELT pipelines using industry-standard tools.\n\nEnsure data accuracy, integrity, and consistency across data sources.\n\nMonitor and troubleshoot ETL / ELT processes to ensure timely and accurate data loading.\n\nImplement and manage data warehousing solutions using Snowflake.\n\nUtilize AWS Glue for data integration and ETL / ELT tasks.\n\nOptimize data storage and retrieval processes to enhance performance.\n\nApply AI/ML concepts to extract insights from large datasets.\n\nIntegrate AI solutions like Cortex AI/AWS Bedrock into the data warehousing environment.\n\nLeverage knowledge in Finance, Accounts, and Manufacturing to understand business requirements.\n\nDevelop data solutions that address specific needs within these domains.\n\nCollaborate with stakeholders to gather and analyse business requirements\n\n Requirement:\nOverall, 3 to 5 years’ experience in which 2+ years of experience in Data Analytics and Digital solutions with exposure to Lake house architecture\n\nBTech in Computer Science or IT\n\nTechnical expertise with data models, data mining, and segmentation techniques\n\nKnowledge of programming languages (e.g. Java and Python) and with hands-on experience with SQL database design\n\nExposure to Cortex AI, AWS Bedrock, Copilot studio (good to have)\n\nStrong analytical and problem-solving skills. Strong influencing and communication skills (written, verbal, presentation) with the ability to be a thought partner/ coach to internal team\n\nShould have exposure to Cloud ETL/ ELT, Cloud DWH, AI and ML tools\n\nDomain expertise in Finance, Accounts, and Manufacturing.\n\nExposure to agile software development, and/or development management\n\nPositive attitude and motivation to deliver and ensure highest quality deliverables. 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