{"id":2166764,"url":"https://alion.io/job/weekday-snowflake-data-engineer","title":"Snowflake Data Engineer","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":106,"ghost_share":0,"stale_share":0.972,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":56000,"period":"year","method":"role_country_seniority_unknown","sample_n":127},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-09T10:22:58Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-10T22:50:42Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"This role is for one of Weekday’s clients\nMin Experience: 5+ years\nLocation: Bengaluru, Hyderabad, Telangana, India, Pune, Maharashtra, India\nJobType: full-time\nWe are looking for an experienced Snowflake Data Engineer with strong expertise in Snowflake, dbt, and Python to design, develop, and maintain scalable, reliable, and high-performance data solutions. The ideal candidate will have hands-on experience building modern data pipelines, transforming complex datasets, and developing efficient data models to support business intelligence, analytics, and data-driven decision-making.\nYou will collaborate with data architects, analytics engineers, business stakeholders, and other technical teams to build robust data platforms and ensure data quality, performance, and availability across the organization.\nRequirements\nKey Responsibilities\n1. Data Engineering and Pipeline Development\nDesign, develop, and maintain scalable data pipelines using Snowflake, Python, and dbt.\nBuild and optimize ETL/ELT workflows to ingest, transform, and process structured and semi-structured data from multiple sources.\nDevelop efficient data models and transformation logic to support reporting, analytics, and downstream applications.\nImplement incremental data loading, change data capture, and automated data processing wherever applicable.\nEnsure data pipelines are reliable, maintainable, and aligned with business requirements.\n2. Snowflake Development and Optimization\nDevelop and manage Snowflake databases, schemas, tables, views, and other database objects.\nOptimize Snowflake queries, warehouse configurations, and data processing workflows for performance and cost efficiency.\nWork with Snowflake features such as streams, tasks, stages, and Snowpipe to support data ingestion and automation.\nImplement appropriate data access controls, security practices, and governance standards.\nTroubleshoot data processing issues and resolve performance bottlenecks.\n3. dbt Development and Data Transformation\nDevelop, maintain, and optimize dbt models to implement modular, reusable, and scalable data transformations.\nApply best practices for data modeling, model dependencies, incremental processing, and project organization.\nImplement dbt tests, documentation, and data quality checks to ensure accuracy and consistency.\nManage model versioning, deployment workflows, and dependencies across development and production environments.\n4. Python-Based Automation\nDevelop Python scripts and utilities to automate data ingestion, validation, transformation, and monitoring.\nBuild reusable components to improve data processing efficiency and reduce manual intervention.\nIntegrate Python applications with Snowflake and other data platforms or APIs.\n5. Collaboration and Continuous Improvement\nCollaborate with cross-functional teams to understand data requirements and translate them into technical solutions.\nParticipate in code reviews, technical design discussions, testing, and production deployments.\nMonitor pipeline performance, troubleshoot production issues, and continuously improve data engineering practices.\nMust-Have Skills\nStrong hands-on experience with Snowflake data warehousing and cloud data engineering.\nPractical experience with dbt for data transformation, modeling, testing, and documentation.\nProficiency in Python for data processing, scripting, and workflow automation.\nStrong understanding of ETL/ELT concepts, data warehousing principles, and scalable data pipeline architecture.\nExperience with performance optimization, data quality management, and production troubleshooting.\nGood-to-Have Skills\nStrong SQL skills, including complex queries, joins, CTEs, and query optimization.\nExperience with PySpark and distributed data processing.\nFamiliarity with cloud platforms such as AWS, Azure, or GCP.\nKnowledge of orchestration tools, CI/CD pipelines, Git, and data governance practices.\nPreferred Candidate Profile\n5-10 years of relevant experience in data engineering, with substantial hands-on exposure to Snowflake, dbt, and Python.\nStrong analytical and problem-solving abilities.\nExcellent communication and collaboration skills.\nAbility to work independently, manage priorities, and deliver high-quality data solutions in a fast-paced environment.","description_format":"text","description_chars":4274,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-09T10:22:58Z"}],"visa":[],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.376,"p_room":1,"age_days":0,"expected_fill_days":5,"reasons":["conf:0","agency","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/weekday-snowflake-data-engineer","json_url":"https://alion.io/job/weekday-snowflake-data-engineer.json","meta":{"generated_at":"2026-10-11T02:02:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3086,"day_limit":5000,"remaining_today":1914,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7097},"rest":"https://alion.io/mcp/rest/get_company?id=7097"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fweekday-snowflake-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fweekday-snowflake-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fweekday-snowflake-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/weekday-snowflake-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fweekday-snowflake-data-engineer"}]}