{"id":1744634,"url":"https://alion.io/job/symphoni-hr-aws-data-engineer-2","title":"AWS Data Engineer","company":{"id":3800108,"name":"Symphoni HR","domain":"symphonihr.com","url":"https://alion.io/company/symphoni-hr","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","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":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":54},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"IAM","optional":false},{"name":"Kanban","optional":false},{"name":"Machine Learning","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false}],"status":"live","first_seen_at":"2026-08-25T00:00:00Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-06T21:35:28Z","board_verified":true,"closed_at":null,"days_open":43,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":43},"description":"We are seeking a highly skilled AWS Data Engineer to join a dynamic team. In this hybrid role, you will be instrumental in designing, implementing, and optimizing scalable cloud-based data solutions. This position involves integrating AI and automation, modernizing legacy systems, and ensuring robust data governance and security within a cutting-edge data architecture.\nOur client is a prominent global firm in the computer software industry, known for its innovative solutions and commitment to technological advancement. They operate at a significant scale, serving a diverse international client base. The company fosters a culture of continuous learning, collaboration, and excellence, empowering its employees to drive impactful change.\nResponsibilities\nDesign and implement data pipelines supporting machine learning, generative AI, and real-time analytics.\nDevelop scalable, cloud-based data solutions using Data Mesh, Lakehouse, and streaming patterns.\nApply responsible AI principles and enforce data privacy, security, and regulatory compliance standards.\nImprove data platform performance through query tuning, distributed processing, and cloud cost optimization.\nSupport modernization of legacy systems using containerization, serverless services, and workflow automation.\nCollaborate with business and engineering partners to deliver data solutions aligned to strategic goals.\nCreate and maintain architecture documentation, runbooks, and implementation standards.\nImplement secure-by-design patterns, disaster recovery capabilities, and reliability improvements for critical data services.\nEvaluate and adopt emerging technologies, including AI-enabled tooling, that provide measurable value.\nRequirements\nBachelor’s degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.\n7+ years of experience in data engineering, software engineering, or data platform development.\n2+ years of hands-on experience with Snowflake.\nMandatory financial industry data experience.\n3+ years of experience in AWS (or similar cloud platforms), including S3, IAM, Athena, SNS, SQS, and EMR.\n4+ years of SQL Server experience, including SSIS and SSRS.\nProven ability to provide technical guidance and collaborate effectively within cross-functional engineering teams.\nExperience designing and supporting scalable distributed data systems using open-source and cloud-native technologies.\nWorking experience with Agile delivery models such as Scrum or 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