{"id":1789072,"url":"https://alion.io/job/kanerika-snow-flake-aws-engineer","title":"Snow flake /AWS Engineer","company":{"id":177954,"name":"Kanerika","domain":"kanerika.com","url":"https://alion.io/company/kanerika","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"junior","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":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GDPR","optional":false},{"name":"GitHub","optional":false},{"name":"Liquibase","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Snowflake","optional":false},{"name":"SOC 2","optional":false},{"name":"SQL","optional":false},{"name":"Dimensional Modeling","optional":true},{"name":"Java","optional":true},{"name":"LLM","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-03T17:39:13Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-05T23:00:35Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About Kanerika\nWho we are:\nKanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of dataand AI. We leverage cutting-edge technologiesin data analytics, data governance, AI-ML, GenAI/ LLM andindustry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.\nAwards and Recognitions\nKanerika has won several awards over the years, including:\nCMMI Level 3 Appraised in 2024.\n\nBest Place to Work 2023 byGreat Place to Work\n\nTop 10 Most Recommended RPA Start-Ups in 2022 by RPA today.\n\nFrost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture.\n\nKanerika has also been recognized for its commitment to customer privacy and data security, having achieved, ISO 9001, ISO 27701, SOC2, and GDPR compliances.\n\nWorking for us\nKanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika.\nLocations\nWe are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India). \nJob Location: Hyderabad,Indore and Ahmedabad (India)\nSkills Required: \nWe are seeking a skilled\nSnowflake Data Engineer to join our team. The ideal candidate will be\nresponsible for designing, developing, deploying, and supporting enterprise\ndata solutions on the Snowflake platform. This role involves building scalable\ndata pipelines, developing metadata-driven frameworks, automating database\ndeployments, and supporting production environments. The successful candidate\nwill possess strong troubleshooting skills, be comfortable working across both\napplication and database administration domains, and consistently produce\nwell-documented, maintainable solutions.\nKey Responsibilities\nSnowflake Engineering &\nDevelopment\nDesign, develop, and maintain\nrobust data solutions using Snowflake.\nDevelop and support database\nobjects including tables, views, streams, tasks, stored procedures, and dynamic\nSQL frameworks.\nBuild scalable and performant\nETL/ELT pipelines for data integration and analytics workloads.\nOptimize Snowflake query\nperformance, storage utilization, and compute efficiency.\nImplement metadata-driven and\nconfiguration-based data processing frameworks.\nDatabase Administration &\nScripting\nDevelop, support, and maintain\ndatabase administration scripts for operational and support activities.\nCreate automation scripts for\ndatabase monitoring, housekeeping, deployments, validations, and health checks.\nAssist with Snowflake platform\nadministration activities, including role management, access controls,\nwarehouse management, and object security.\nSupport operational automation\nacross development, test, and production environments.\nSupport Amazon Aurora\nPostgreSQL operational activities, including connectivity validation,\nperformance troubleshooting, access coordination, and environment support.\nDatabase Deployment &\nRelease Management\nUtilize Liquibase for\nsource-controlled database deployments and schema migrations.\nDevelop and maintain\ndeployment scripts and release automation processes.\nEnsure database changes are\nproperly version-controlled, tested, and promoted through environments.\nPartner with development and\noperations teams to establish deployment standards and best practices.\nData Engineering &\nOperational Support\nDevelop efficient data\ningestion, transformation, and validation processes.\nDesign, develop, and support\nAWS Glue jobs and workflows for data ingestion, transformation, cataloging, and\norchestration across cloud and enterprise data platforms.\nWork with Amazon S3 for data\nlanding, staging, archival, file organization, access patterns, and integration\nwith Snowflake and AWS Glue pipelines.\nSupport AWS Database Migration\nService (AWS DMS) tasks for data replication, migration, validation,\nmonitoring, and issue resolution across source and target platforms.\nTroubleshoot and resolve\nissues related to data pipelines, database performance, and application\nintegrations.\nPerform root cause analysis\nand implement corrective actions for recurring issues.\nMonitor data loads, data\nquality processes, and platform performance to ensure reliability and\navailability.\nSupport production incident\nmanagement and operational escalations.\nSoftware Engineering &\nDocumentation\nWrite clean, maintainable, and\nsupportable code following engineering best practices.\nDesign solutions with\nlong-term maintenance, observability, and troubleshooting requirements in mind.\nImplement appropriate logging,\nexception handling, auditing, and monitoring capabilities.\nProduce comprehensive\ntechnical documentation for all solutions, processes, and deployments.\nCreate and maintain\noperational runbooks, troubleshooting guides, architectural documentation, and\nknowledge transfer materials.\nEnsure all code deliveries are\nsupplemented with proper and abundant documentation to support future\nmaintenance and operational activities.\nSystem Integration & DevOps\nSupport CI/CD processes for\ndatabase and data engineering solutions.\nUtilize GitHub for source code\nmanagement, version control, and collaboration.\nCollaborate with application\ndevelopment, infrastructure, and data teams to deliver integrated enterprise\nsolutions.\nIntegrate Snowflake solutions\nwith AWS services, including AWS Glue, Amazon Aurora PostgreSQL, Amazon S3, and\nAWS DMS, to support scalable enterprise data processing and interoperability.\nParticipate in code reviews,\ndeployment reviews, and technical design discussions.\nRequirements\nAt least 2 years of relevant\ndata engineering experience, including hands-on work with cloud data platforms\nand production data environments.\nStrong hands-on working\nexperience with Snowflake development and administration.\nProficiency in writing and\noptimizing complex SQL queries and Snowflake stored procedures.\nHands-on proficiency with AWS\nGlue for ETL development, workflow orchestration, job monitoring, and\ntroubleshooting.\nExperience developing database\nand application support scripts.\nExperience working with Amazon\nAurora PostgreSQL, including SQL development, integration support, operational\ntroubleshooting, and performance analysis.\nExperience working with Amazon\nS3 for storage, ingestion, staging, and integration with cloud-native data\npipelines.\nExperience with AWS DMS for\ndatabase migration, change data capture, replication monitoring, and\ntroubleshooting.\nHands-on experience with\nLiquibase for database deployment and schema version management.\nStrong troubleshooting,\nanalytical, and problem-solving skills.\nExperience supporting\nproduction data warehouse or data platform environments.\nAbility to develop\nmaintainable, reusable, and well-documented code.\nExperience with source control\nsystems such as GitHub.\nExcellent verbal and written\ncommunication skills.\nStrong attention to detail and\ncommitment to operational excellence.\nPreferred Qualifications (Plus)\nExperience with cloud\nplatforms such as AWS.\nExperience building\ncloud-native data pipelines using AWS Glue, Amazon Aurora PostgreSQL, Amazon\nS3, AWS DMS, Snowflake, and related AWS data services.\nExperience with Snowflake\nperformance tuning and cost optimization.\nExperience implementing\nmetadata-driven frameworks and data validation solutions.\nProficiency with Python, Shell\nScripting.\nFamiliarity with CI/CD\npipelines and DevOps practices.\nKnowledge of data warehousing\nconcepts, dimensional modeling, and enterprise reporting platforms.\nExperience with monitoring,\nobservability, and operational support frameworks.\nExperience\nsupporting regulatory, audit, and data governance requirements.\nBenefits\nWhy join us?\n·Work with a passionate and innovative team in a fast-paced, growth-oriented environment.\n·Gain hands-on experience in content marketing with exposure to real-world projects.\n·Opportunity to learn from experienced professionals and enhance your marketing skills.\n·Contribute to exciting initiatives and make an impact from day one.\n·Competitive stipend and potential for growth within the company.\n·Recognized for excellence in data and AI solutions with industry awards and 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