{"id":43643,"url":"https://alion.io/job/billennium-snowflake-data-engineer","title":"Snowflake Data Engineer","company":{"id":1572,"name":"Billennium","domain":"billennium.com","url":"https://alion.io/company/billennium","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":{"grade":"A","score":92,"open_postings":6,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":59,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Collibra","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Informatica","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-06-25T13:34:49Z","employer_posted_date":"2026-06-25","last_verified_at":"2026-10-30T15:09:24Z","board_verified":true,"closed_at":null,"days_open":127,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":125},"description":"We are seeking a skilled Snowflake Data Engineer to support enterprise data transformation initiatives involving SAP S/4HANA source systems, Snowflake cloud data platform, and Ataccama for data quality and governance.\nThe role focuses on building scalable data pipelines, enabling seamless data movement, and ensuring high-quality, governed data delivery for downstream analytics and business consumption.\nResponsibilities\nData Engineering & Integration\nDesign, develop, and maintain end-to-end ETL/ELT pipelines for data extraction from SAP S/4HANA into SnowflakeBuild scalable data ingestion frameworks (batch and/or real-time) for structured and semi-structured data\nImplement transformation logic using SQL, Snowflake features (Streams, Tasks), or supporting tools (e.g., Spark/ADF/DBT if applicable)\n\nSnowflake Platform Development\nDevelop and optimize data models, schemas, and pipelines within SnowflakeManage performance tuning including:\n\nQuery optimizationWarehouse sizing\n\nData partitioning and clustering\nImplement best practices for cost and performance optimization\nData Quality & Governance (Ataccama)\nIntegrate and support Ataccama for:\nData quality rules\nData validation framework\nData profiling and monitoring\nEnsure data consistency between source (S/4HANA) and target layersCollaborate on data governance, metadata, and lineage initiatives\n\nCollaboration & Stakeholder Engagement\nWork closely with business analysts, SAP teams, and data architectsTranslate functional requirements into technical pipeline design\nProvide support during testing, validation, and production deployment\n\nOperational Excellence\nMonitor data pipelines and resolve production issuesImplement logging, alerting, and data validation mechanisms\nSupport CI/CD and DevOps practices for data pipeline deployment\n\nRequirements\nCore Technical Skills\nStrong experience with Snowflake (data modeling, ELT pipelines, performance tuning)\nExperience integrating data from SAP S/4HANA or similar ERP systems\nSolid SQL expertise and data warehousing concepts (star schema, dimensional modeling)\nHands-on experience with ETL/ELT tools (e.g., ADF, Informatica, Talend, DBT, or similar)\nData Quality & Governance\nExperience working with Ataccama (preferred) OR similar data quality tools (Informatica DQ, Collibra, etc.)\nUnderstanding of data governance, validation frameworks, and metadata management\nProgramming & Cloud\nProficiency in Python / PySpark (preferred)\nExperience with cloud platforms (Azure, AWS, or GCP)\nExposure to orchestration tools (Airflow, ADF pipelines, etc.)\nNice to Have\nPrior experience in SAP data models (FI, SD, MM, etc.)\nKnowledge of real-time ingestion frameworks\nExperience in data migration or transformation programs\nSnowflake certifications (e.g., SnowPro Data Engineer)\nSoft Skills\nStrong analytical and problem-solving skills\nAbility to work in cross-functional environments\nClear communication with both technical and business 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