{"id":3865865,"url":"https://alion.io/job/wissen-technology-data-engineer-2","title":"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":"2026-11-07T05:47:08Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-06T12:02:40Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T06:07:41Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Wissen Technology is hiring for Senior Data Engineer\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 a Senior Data Engineer to build and maintainscalable cloud-based data platforms. The role focuses on product development, data engineering, analytics enablement, data pipeline automation, and platform optimization using Azure data technologies for enterprise-grade solutions.\nEXPERIENCE, LOCATION, MODE OF WORK\nExperience: 8-10 years\nLocation: Bangalore\nMode of Work: Hybrid\nMandatory Skills (Must Have)\nAzure Databricks (8+ years building and optimizinglarge-scale data processing solutions)\nAzure Data Factory for enterprise ETL/ELT orchestration and workflow automation\nPySparkfor large-scale distributed data engineering and transformation\nAzure Data Lake for storage, governance, and data lifecycle management\nAzure Synapse Analytics for data warehousing and analytics workloads\nDelta Tables and Delta Lake architecture for reliable data pipelines\nUnity Catalog for data governance, access management, and metadata management\nPython and SQL for data engineering, automation, and advanced data transformations\nOptional Skills (Good to Have)\nServerless Compute architecture on Azure\nData visualization and analytics product development\nAPI development for data services and analytics platforms\nCI/CD implementation in Azure DevOps\nExperience with data quality, monitoring, and observability frameworks\nProfessional Attributes & Qualifications\nEducation: BE in Computer Science, Engineering, Information Technology, or related field\nLeadership: Experience mentoring junior data engineers and promoting engineering best practices\nOwnership: Ability to drive end-to-end data platform initiatives independently\nStrong analytical, troubleshooting, and problem-solving capabilities\nExcellent written and verbal communication skills with cross-functional teams and stakeholders\nKey Responsibilities\nDesign, develop, and maintainscalable data pipelines using Azure Databricks, PySpark, and Azure Data Factory\nPartner with data architects to support the full data lifecycle including acquisition, cleansing, integration, analytics, and visualization\nBuild and optimizeDelta Tables and Azure Data Lake solutions for enterprise data platforms\nDevelop automated data processing services, APIs, and analytics products\nImplement data governance and security controls using Unity Catalog\nOptimizedata warehouse and analytics workloads using Azure Synapse Analytics\nPerform code reviews, testing, monitoring, and troubleshooting to ensure data platform reliability\nCollaborate with business stakeholders and engineering teams to deliver high-quality data solutions\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: 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