{"id":3299746,"url":"https://alion.io/job/epam-systems-senior-snowflake-data-engineer","title":"Senior Snowflake Data Engineer","company":{"id":92,"name":"EPAM Systems","domain":"epam.com","url":"https://alion.io/company/epam-systems","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"D","score":45,"open_postings":58,"ghost_share":0.897,"stale_share":0,"repost_share":0.103,"time_to_fill_p50_days":44,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Cortex","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-10-26T21:13:21Z","employer_posted_date":null,"last_verified_at":"2026-10-26T21:13:21Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We are seeking an experienced Senior Snowflake Data Engineer to join our data engineering team and drive the design, development and maintenance of scalable data solutions using Snowflake's cloud data platform. This role requires expertise in modern data engineering practices, cloud technologies and AI/ML integration within the Snowflake ecosystem.\n\nResponsibilities\n\nDesign and implement robust data pipelines using Snowflake's native capabilities\nDevelop and optimize complex queries using Snow SQL and Snow PLSQL\nBuild scalable data applications using the Snowpark framework\nDeploy and manage Snowflake environments on AWS and Azure cloud platforms\nIntegrate Snowflake with various cloud services and data sources\nEstablish security best practices and data governance frameworks\nOptimize cloud resource utilization and cost management\nMaintain data workflows using Apache Airflow\nCreate data transformation pipelines using DBT\nMonitor data quality, reliability and performance across pipelines\nLeverage Snowflake Cortex AI for advanced analytics and machine learning use cases\nCollaborate with data scientists to productionize ML models\n\nRequirements\n\n5 to 8 years of experience in data engineering including 4+ years of hands-on experience with Snowflake\nProficiency in Snow SQL, Snow PLSQL and Snowpark for query development, stored procedures and Python-based data applications\nAdvanced skills in Python programming with a focus on data engineering\nProficiency in AWS and/or Azure cloud services\nFamiliarity with Apache Airflow for workflow orchestration and DBT for data transformation and modeling\nBackground in Snowflake Cortex AI for native AI and ML capabilities","description_format":"text","description_chars":1675,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Custom Software 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