{"id":3865864,"url":"https://alion.io/job/wissen-technology-senior-snowflake-data-engineer","title":"Senior Snowflake Data Engineer:","company":{"id":412,"name":"Wissen Technology","domain":"wissen.com","url":"https://alion.io/company/wissen-technology","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-11-08T05:47:12Z"}},"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":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Jenkins","optional":true}],"status":"live","first_seen_at":"2026-11-06T12:02:40Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-08T06:51:25Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Wissen Technology is hiring for Senior Data Engineer (Snowflake & AWS Glue)\nABOUT WISSEN TECHNOLOGY\nAt Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset-ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edgetechnology expertise, and a relentless focus on quality. We don'tjust meet expectations-we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track recordof building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provideclientsthe flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact-the first time, every time.\nJOB SUMMARY\nWissen Technology is hiring an experienced Senior Data Engineer to design, build, and maintainenterprise-grade data platforms and modern cloud data warehouses. The role focuses on product development, data pipeline engineering, analytics enablement, and ongoing platform optimization using Snowflake, AWS Glue, Python, and AWS services.\nEXPERIENCE, LOCATION, MODE OF WORK\nExperience: 7-12 years\nLocation: Chennai\nMode of Work: Hybrid\nMandatory Skills (Must Have)\nSnowflake (7+ years including data modeling, performance tuning, security roles, and warehouse optimization)\nPython (7+ years for ETL/ELT development, automation, and data processing)\nAWS Glue (Glue Jobs, Crawlers, Data Catalog, and serverless ETL development)\nETL/ELT pipeline design and development in enterprise data environments\nAWS services including S3, Lambda, IAM, and cloud-native data architecture\nData warehousing concepts, dimensional modeling, and analytics data marts\nSQL and advanced data transformation techniques for large-scale datasets\nOptional Skills (Good to Have)\nHealthcare data analytics and specialty pharmacy data experience\nApache Airflow or AWS Step Functions for workflow orchestration\nCI/CD pipelines using Git, Jenkins, GitHub Actions, or similar tools\nData quality, observability, and monitoring platforms\nInfrastructure as Code and cloud automation practices\nProfessional Attributes & Qualifications\nEducation: BE/BTech/ME/MTech in Computer Science, Engineering, Information Technology, or related field\nLeadership: Experience mentoring junior data engineers and guiding technical best practices\nOwnership: Proven ability to drive end-to-end data engineering projects independently\nStrong analytical, problem-solving, and stakeholder management skills\nExcellent written and verbal communication skills for business and technical audiences\nKey Responsibilities\nDesign, develop, and maintainscalable ETL/ELT pipelines using Snowflake, AWS Glue, and Python\nBuild robust Snowflake data models and warehouse structures supporting analytics, reporting, and data science initiatives\nDevelop clean, efficient, and maintainable Python code for data processing and automation\nCollaborate with data analysts, data scientists, architects, and business stakeholders to deliver high-quality data solutions\nGather requirements, provide solution design recommendations, and communicate technical approaches effectively\nMonitor, troubleshoot, and optimizedata workflows for reliability, performance, and data quality\nImplement data validation, error handling, observability, and governance controls across pipelines\nOptimizecloud data platform performance and cost efficiency in AWS environments\nWissen Sites\nWebsite: www.wissen.com\nLinkedIn: https://www.linkedin.com/company/wissen-technology\nWissen Leadership: https://www.wissen.com/company/leadership-team/\nWissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All\nWissen Thought Leadership: https://www.wissen.com/articles/","description_format":"text","description_chars":4579,"description_truncated":false,"requirements":{"experience_years_min":7,"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","IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-11-06T12:02:40Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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