{"id":4138531,"url":"https://alion.io/job/moder-solutions-snowflake-engineer-etl-tools","title":"Snowflake Engineer - ETL Tools","company":{"id":3801197,"name":"Moder Solutions","domain":"gomoder.com","url":"https://alion.io/company/moder-solutions","size_band":null,"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":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":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"Informatica","optional":false},{"name":"Matillion","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true}],"status":"live","first_seen_at":"2026-11-12T04:24:08Z","employer_posted_date":null,"last_verified_at":"2026-11-12T04:24:08Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Role Overview :\n\nWe are seeking a dynamic Snowflake Data Engineer with proven expertise in Snowpipe data ingestion and foundational experience with Snowflake in an AWS Cloud environment. This role is hands-on, focusing on building, optimizing, and modernizing data pipelines for large-scale analytical platforms.\n\nKey Responsibilities :\n\n- Design, develop, and maintain Snowpipe-based automated data ingestion pipelines from diverse enterprise sources.\n\n- Integrate new data assets (structured & semi-structured) into Snowflake using cloud-native services and ETL tools.\n\n- Optimize pipeline performance, reliability, and monitoring to ensure timely and accurate data availability.\n\n- Collaborate with Data Architects, business analysts, and application teams to translate requirements into scalable data workflows.\n\n- Troubleshoot, debug, and support Snowpipe ingestion jobs in production environments.\n\n- Implement basic data modeling and partitioning strategies in Snowflake (fact/dimension tables, streams, tasks).\n\n- Ensure cloud best practices for security, cost management, and compliance in an AWS-hosted Snowflake instance.\n\n- Document technical 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Core Certification (optional).\n\nEducation :\n\n- Bachelors degree in computer science, Engineering, Information Systems, or related field.\n\nSkills\nData Engineering, Snowflake DB, Data Pipeline, ETL, ETL Tools, Data Ingestion, AWS, Python, Data Integration","description_format":"text","description_chars":2379,"description_truncated":false,"requirements":{"experience_years_min":8,"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","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-11-12T04:30:56Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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