{"id":2693516,"url":"https://alion.io/job/infosys-snowflake-developer-4","title":"Snowflake developer","company":{"id":223,"name":"Infosys","domain":"infosys.com","url":"https://alion.io/company/infosys","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":95,"open_postings":245,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":93,"computed_at":"2026-10-17T05:46:00Z"}},"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":16500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Least Privilege","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Git","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-19T07:00:42Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T17:22:08Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"Step into a role where you’ll help shape a modern, reliable data platform powered by Snowflake and dbt. As a Senior Systems Engineer, you’ll work closely with data engineers, analytics teams, and stakeholders to build scalable data models and dependable pipelines that turn raw data into trusted insights. You’ll be encouraged to bring a problem-solving mindset, take ownership of platform stability, and continuously improve performance, cost efficiency, and governance. This is a collaborative environment where your ideas matter-whether you’re optimizing warehouse usage, refining transformation logic, or improving deployment practices. If you enjoy building clean, well-documented data systems and want to contribute to a culture that values quality, transparency, and continuous learning, this opportunity is built for you.\nResponsibilities\nKey Responsibilities:\nSnowflake Platform Engineering\nDesign, implement, and maintain Snowflake environments including warehouses, databases, schemas, roles, and resource monitors.\nOptimize query performance and warehouse sizing through workload analysis, clustering strategies, and best-practice tuning.\nImplement secure access controls using RBAC, ensuring least-privilege access and audit-friendly governance.\nMonitor platform health, usage, and cost; recommend improvements to balance performance and spend.\nData Transformation with dbt\nBuild and maintain dbt models, tests, and documentation to deliver reliable, analytics-ready datasets.\nEstablish modular transformation patterns (staging, intermediate, marts) and enforce consistent naming/versioning standards.\nImplement data quality checks using dbt tests and support root-cause analysis for data issues.\nOperational Excellence\nSupport release and deployment workflows for Snowflake/dbt changes with strong change management practices.\nCollaborate with cross-functional teams to translate business requirements into scalable data solutions.\nCreate clear technical documentation and runbooks for ongoing operations an\nTechnical requirements\nPrimary skills:Technology->Data on Cloud-DataStore->Snowflake\nAdditional responsibilities\nMinimum Qualifications:\n3-5 years of experience in data platform engineering, systems engineering, or a related role.\nHands-on experience with Snowflake including performance tuning, security/RBAC, and environment management.\nHands-on experience with dbt (Data Build Tool) including model development, testing, and documentation.\nStrong SQL skills and experience working with structured datasets and transformation logic.\nBachelor’s degree or equivalent in Engineering/Computer Science or related fields (BTech/BE/BSc or equivalent).\nPreferred Qualifications:\nExperience designing dimensional models (star/snowflake schemas) and building curated data marts for analytics use cases.\nFamiliarity with CI/CD practices for analytics engineering (version control, automated testing, controlled deployments).\nExperience implementing data observability practices and operational monitoring for pipelines and warehouse workloads.\nExposure to cost governance in Snowflake (warehouse optimization, query profiling, usage analytics).\nPostgraduate qualification (MTech/MCA/MSc or equivalent) is a plus.\nGood to have skills:\nGit, CI/CD, Data Modeling, Data Quality/Observability, Python\nPreferred skills\nTechnology->Data on Cloud-DataStore->Snowflake\nEducation\nMCA,MSc,MTech,Bachelor of 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