{"id":3591968,"url":"https://alion.io/job/anblicks-senior-data-engineer-snowflake-native-applications","title":"Senior Data Engineer Snowflake Native Applications","company":{"id":2303504,"name":"Anblicks","domain":"anblicks.com","url":"https://alion.io/company/anblicks","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","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":"explicit","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":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Agile","optional":true},{"name":"Cortex","optional":true},{"name":"Docker","optional":true},{"name":"Prometheus","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-11-01T17:24:33Z","employer_posted_date":null,"last_verified_at":"2026-11-01T17:24:33Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Job Role: Senior Data Engineer – Snowflake Native Applications\n\nLocation: Hyderabad, India\n\nWork Mode: Hybrid\n\nExperience: 5+ Years\n\nEmployment Type: Full-time\n\nAbout Anblicks\n\nAnblicks is a Data & AI company helping enterprises build modern, scalable data platforms and AI-powered solutions. As a Snowflake Elite Services Partner, we work extensively with Snowflake and modern cloud technologies to deliver data-intensive applications and enterprise solutions.\n\nRole Overview\n\nAnblicks is looking for a Senior Data Engineer – Snowflake Native Applications with strong expertise in Java/Python, SQL, Snowflake, and backend application development, along with hands-on experience building applications using the Snowflake Native App Framework.\n\nThis is a hands-on engineering role for someone who can design and develop secure, scalable, production-grade, data-intensive applications that run on and integrate closely with the Snowflake platform.\n\nYou will work closely with solution architects, data engineers, software engineers, and cross-functional teams to translate business and technical requirements into robust software solutions. The role will involve application development, Snowflake Native Apps, Snowpark, APIs, cloud integrations, security, performance optimization, and CI/CD.\n\nKey Responsibilities\n\nDesign, develop, test, and maintain scalable, secure, and production-grade software applications using Java/Python, SQL, and Snowflake.\nDesign and develop applications using the Snowflake Native App Framework.\nBuild and manage Native App components including application packages, manifests, setup scripts, application roles, privileges, versioning, upgrades, and release management.\nDevelop backend services, REST APIs, integrations, and application business logic using Java and/or Python.\nDevelop complex and optimized SQL queries, stored procedures, functions, views, and other Snowflake objects.\nLeverage Snowpark and Snowflake's programmatic development capabilities to build data-intensive applications and processing solutions.\nDevelop and integrate applications with Snowflake, external APIs, SaaS platforms, enterprise systems, and cloud services.\nBuild or support user-facing experiences using Streamlit in Snowflake, where required.\nImplement secure access and data-sharing patterns using Snowflake RBAC, application roles, privileges, and secure data access mechanisms.\nOptimize application and database workloads for performance, scalability, reliability, and Snowflake cost efficiency.\nDesign and implement automated unit testing, integration testing, CI/CD, deployment, versioning, and release processes.\nTroubleshoot and resolve complex issues across application code, SQL, Snowflake, integrations, data, and performance.\nCollaborate with architects and engineering teams to translate solution designs into maintainable and scalable implementations.\nParticipate in technical design and code reviews, providing recommendations on architecture, security, scalability, performance, and maintainability.\nFollow engineering best practices around coding standards, Git, CI/CD, testing, observability, security, and documentation.\nMentor junior and mid-level engineers and contribute to continuous improvement of engineering practices.\nStay current with Snowflake Native Apps, Snowpark, Snowflake platform capabilities, and modern software engineering technologies.\n\nRequired Qualifications\n\n5+ years of professional experience in software/application development with experience delivering production-grade applications.\nStrong hands-on experience in Java and/or Python backend development.\nStrong understanding of object-oriented programming, design patterns, application architecture, exception handling, concurrency, testing, and performance optimization.\nAdvanced proficiency in SQL, including complex queries, joins, subqueries, stored procedures, functions, views, and query optimization.\nStrong hands-on experience with Snowflake and its core data platform capabilities.\nProven hands-on experience developing applications using the Snowflake Native App Framework.\nStrong understanding of Native App concepts including:\nApplication Packages\nManifest Files\nSetup Scripts\nApplication Roles & Privileges\nVersioning & Upgrades\nApplication Lifecycle Management\nSecure Data Access\nData Sharing\nExperience developing REST APIs, backend services, enterprise integrations, or distributed applications.\nExperience integrating backend applications with Snowflake and data platforms.\nWorking proficiency in Python for application development, scripting, automation, or data processing.\nHands-on experience with Snowpark or other Snowflake programmatic development capabilities.\nExperience with at least one major cloud platform: AWS, Microsoft Azure, or GCP.\nGood understanding of Git, CI/CD, software testing, secure development practices, and application deployment.\nStrong problem-solving, debugging, analytical, and communication skills.\nAbility to independently own complex technical deliverables and work effectively with architects and cross-functional engineering teams.\n\nPreferred Qualifications\n\nHands-on experience building data-intensive or high-volume applications.\nExperience with JDBC, connection pooling, transaction management, and database integration patterns.\nExperience building Streamlit applications in Snowflake, particularly as part of Snowflake Native Apps.\nExperience with Snowpark Container Services.\nExperience with Docker and containerized applications.\nExperience deploying or distributing Snowflake Native Apps across multiple customer Snowflake accounts or environments.\nStrong understanding of Snowflake security, RBAC, governance, data sharing, and secure data access patterns.\nExperience integrating Snowflake applications with external APIs, SaaS platforms, and cloud services.\nExperience designing automated build, test, deployment, and release pipelines for software and Snowflake applications.\nExperience working in Agile/Scrum development environments.\nExperience in data platforms, analytics, SaaS, enterprise software, or cloud-native application development.\nExposure to modern Snowflake capabilities such as Snowflake Cortex, Snowflake Marketplace, Native Apps, or other Snowflake application ecosystem capabilities.\n\nEducation\n\nBachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline, or equivalent professional experience.","description_format":"text","description_chars":6450,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Machine Learning","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-11-01T20:09:45Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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