{"id":3308591,"url":"https://alion.io/job/virtusa-corporation-snowflake-dbt","title":"Snowflake DBT","company":{"id":1833108,"name":"Virtusa Corporation","domain":"virtusa.com","url":"https://alion.io/company/virtusa-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":42000,"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":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-26T23:19:10Z","employer_posted_date":null,"last_verified_at":"2026-10-26T23:19:10Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Job Requirements\n\nData Engineer\n\nLocation: HYD Campus, Hyderabad\n\nYears of Experience: 5-7 Years\n\nJob Summary: We are seeking a skilled Data Engineer with expertise in Snowflake ETL and dbt pipeline construction. The ideal candidate will leverage Snowflake's elastic compute for high-performance data transformations and ensure the integrity of our data ecosystem through comprehensive testing and documentation.\n\nResponsibilities\n\nDesign and implement ETL processes using Snowflake and dbt to refine data through modular models.\nUtilize Dagster for managing scheduled and event-driven batch loads into Snowflake, ensuring idempotent and observable data ingestion.\nImplement unit tests and asset checks in dbt and Dagster to validate transformation logic before production deployment.\nCreate and maintain comprehensive documentation of data flows, metadata, and transformation logic using dbt's auto-generated docs and Dagster's lineage graphs.\nImplement Snowflake Dynamic Data Masking for granular control over sensitive information, ensuring compliance and data security.\n\nMandatory Skills\n\nProven experience in Data Engineering with a focus on Snowflake ETL and dbt.\nStrong SQL skills and experience in building modular dbt models.\nFamiliarity with Dagster for data orchestration and batch ingestion.\nExperience in implementing unit tests and data quality checks.\nKnowledge of data security practices, including column-level masking.\n\nPreferred Skills\n\nExperience with cloud data warehousing solutions.\nFamiliarity with data governance and compliance frameworks.\nUnderstanding of data visualization tools and techniques.\n\nQualifications\n\nBachelor's degree in Computer Science, Engineering, or a related field.\n5-7 years of experience in Data Engineering or a related role.\nStrong analytical and problem-solving skills.\n\nWork 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