{"id":4199474,"url":"https://alion.io/job/deloitte-snowflake-data-engineer","title":"Snowflake Data Engineer","company":{"id":272,"name":"Deloitte","domain":"deloitte.com","url":"https://alion.io/company/deloitte","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":12,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"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":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Informatica","optional":false},{"name":"Matillion","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false},{"name":"Teradata","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-12T21:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-12T21:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Your work profile:\n\nThe Snowflake quality data engineer is responsible for managing client relationships and overseeing the successful delivery of programs or accounts. This role serves as the primary point of contact between the organization and its clients, ensuring alignment of goals, timelines, budgets, and expected outcomes while driving client satisfaction and business growth.\n\nKey Skills & Competencies:\n4-6 years of experience in developing and maintaining Snowflake data warehouse and lakehouse components, including databases, schemas, tables, views, stages, file formats, and secure data access patterns.\nBuild and operate batch and incremental ELT/ETL pipelines for structured and semi-structured data using SQL, Python, and suitable orchestration or integration tools.\nImplement Snowflake features such as Snowpipe, Streams and Tasks, Dynamic Tables, Time Travel, Zero-Copy Cloning, External Tables, and Data Sharing where appropriate.\nDevelop reusable transformations, dimensional models, data marts, and source-to-target mappings; use dbt or equivalent frameworks where applicable.\nIntegrate Snowflake with cloud storage and services on AWS, Azure, or GCP, including secure ingestion and data movement patterns.\nTroubleshoot pipeline failures, reconcile data, implement data quality checks, and support production incidents through root-cause analysis.\nTune SQL queries and workloads; apply appropriate warehouse sizing, caching, clustering, and resource-monitoring practices to balance performance and cost.\nImplement role-based access control, masking, secure views, secrets handling, and other data protection controls in line with platform standards.\nUse Git, code reviews, automated testing, and CI/CD practices to deliver maintainable and production-ready data assets.\nCollaborate with data architects, analysts, QA, platform teams, and business stakeholders to clarify requirements and deliver tested solutions.\nHands-on Snowflake development experience, including core platform objects, loading patterns, workload execution, and operational troubleshooting.\nStrong SQL skills, including complex joins, CTEs, window functions, query plans, and performance tuning.\nWorking proficiency in Python for data processing, automation, API integration, or pipeline utilities.\nPractical experience with at least one ETL/ELT or orchestration tool, such as dbt, Airflow, Matillion, Fivetran, Informatica, Talend, Azure Data Factory, or AWS Glue.\nExperience with at least one cloud platform: AWS (S3, Glue, Lambda), Azure (ADLS Gen2, ADF, Databricks), or GCP (GCS, Dataflow, Pub/Sub).\nUnderstanding of relational databases such as Oracle, SQL Server, PostgreSQL, Teradata, or MySQL; familiarity with semi-structured formats such as JSON and Parquet.\nFamiliarity with Git, code review, CI/CD, testing, logging, and secure cloud development practices.\nAbility to translate technical requirements into clear, tested data pipeline and transformation deliverables.\nExposure to Databricks, Kafka or other event-streaming technologies, and lakehouse architectures.\nFamiliarity with data governance, metadata, lineage, data catalogues, RBAC, and masking policies.\nExposure to Terraform or other infrastructure-as-code tools.\nAwareness of AI/ML and GenAI data requirements, including curated datasets for analytics or retrieval-augmented generation (RAG).\nBanking and Financial Services domain experience is an advantage.\n\nPreferred Qualifications:\nBachelor's or Master's degree in computer science, Engineering, Information Systems, or a related discipline.\nSnowPro Core and/or relevant AWS, Azure, or GCP certifications are preferred.\n\nSuccess Metrics:\nReliable, well-tested pipelines delivered to agreed quality and schedule.\nReduced data defects and production incidents through validation, monitoring, and root-cause fixes.\nMeasurable improvements in query performance, pipeline efficiency, and Snowflake credit consumption.\nClear documentation, reusable code, and adherence to security and engineering standards.\n\nLocation and way of working:\n\nBase location: Hyderabad\n\nThis profile involves occasional travelling to client locations.\n\nHybrid is our default way of working. Each domain has customized the hybrid approach to their unique needs.\nSkills\nPython, SQL, Snowflake","description_format":"text","description_chars":4282,"description_truncated":false,"requirements":{"experience_years_min":4,"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":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-11-12T21:35:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":12,"reasons":["seen:0","win:early","comp:brand"],"computed_at":"2026-11-13T00:27:37Z"},"pay":null,"html_url":"https://alion.io/job/deloitte-snowflake-data-engineer","json_url":"https://alion.io/job/deloitte-snowflake-data-engineer.json","meta":{"generated_at":"2026-11-13T00:27:37Z","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_verified","counted_by":"address","units_charged":1,"used_today":1052,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":272},"rest":"https://alion.io/mcp/rest/get_company?id=272"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdeloitte-snowflake-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fdeloitte-snowflake-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fdeloitte-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/deloitte-snowflake-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdeloitte-snowflake-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4199474}},{"tool":"search_jobs","arguments":{"company":"deloitte.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4199474},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}