{"id":3341271,"url":"https://alion.io/job/wipro-snowflake-data-engineer-2","title":"Snowflake Data Engineer","company":{"id":224,"name":"Wipro","domain":"wipro.com","url":"https://alion.io/company/wipro","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"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":{"min_usd":16000,"max_usd":34000,"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":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Fivetran","optional":true},{"name":"GCP","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-27T15:32:08Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-28T02:25:56Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.Job Description\nRole Purpose\nWipro Technologies invites applications for the position of Snowflake Data Engineer, where you will play a pivotal role in shaping robust, scalable cloud data infrastructure. As a key technical leader within the Applied AI & Data service line, you will collaborate cross-functionally with analytics, engineering, architecture, governance, and business teams to architect and maintain data ecosystems that promote data reliability, security, and governance. Your expertise will drive the transformation of disparate data sources into highly optimized, accessible data products tailored for advanced analytics and business intelligence.\nWe value innovation, efficiency, and a collaborative approach to solve complex data challenges. This role offers an exciting opportunity to contribute significantly to enterprise-scale data solutions while working within an energized team focused on digital transformation and sustainable data excellence.\n͏\nKey Responsibilities & Qualifications\nDesign, develop, and optimize end-to-end data pipelines and ELT processes using Snowflake's platform capabilities to enable seamless ingestion, transformation, and consumption of data.\nBuild and maintain robust data models including dimensional, normalized, and Data Vault models that support diverse analytical needs, ensuring flexibility and scalability.\nLeverage SQL, Python, and orchestration tools such as dbt, Airflow, or equivalent to create efficient data workflows, while implementing comprehensive automated testing and monitoring frameworks.\nConfigure Snowflake virtual warehouses, clustering keys, resource monitors, and query profiles to maximize performance and cost-effectiveness.\nImplement and maintain strict data security measures including Role-Based Access Control (RBAC), masking policies, secure views, and data-sharing protocols to safeguard sensitive information in compliance with governance standards.\nTroubleshoot complex pipeline issues, data quality inconsistencies, and performance bottlenecks through detailed root-cause analyses and proactive resolution strategies.\nCollaborate with multi-disciplinary teams and stakeholders to translate complex business requirements into practical, scalable data solutions while adhering to Agile methodologies and participating in code reviews and continuous improvement cycles.\nDocument technical designs, data lineage, operational procedures, and architecture decisions to support knowledge sharing and ongoing platform governance.\nMonitor usage metrics and provide actionable recommendations to enhance platform reliability, scalability, and cost optimization in dynamic cloud environments.\nRequired Qualifications\nBachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical discipline, or equivalent hands-on experience.\nMinimum of 5 years’ direct experience in data engineering roles with demonstrated capabilities in cloud-based data platforms, especially Snowflake.\nProven expertise with Snowflake features including data ingestion with Snowpipe, Streams & Tasks for continuous data operations, Time Travel, zero-copy cloning, and semi-structured data handling (such as JSON, Avro, Parquet).\nProficiency in SQL and Python scripting for complex data manipulation, automation, and workflow orchestration.\nExperience deploying ELT pipelines using modern orchestration tools like dbt, Apache Airflow, or Azure Data Factory.\nFamiliarity with DevOps practices including version control with Git, CI/CD pipelines, automated testing, and deployment automation.\nStrong understanding of data modeling techniques, metadata management, data quality and governance frameworks.\nExceptional problem-solving skills combined with the ability to manage diverse stakeholder relationships effectively.\nPreferred Qualifications\nCertifications such as SnowPro Core & Advanced or relevant cloud/platform certifications (AWS, Azure, GCP).\nExperience with additional data technologies and platforms including Kafka, Fivetran, Power BI, Tableau, or Snowpark development.\nKnowledge of emerging architectural paradigms like data mesh, lakehouse, and experience with infrastructure as code and DevOps methodologies.\nPrior exposure to managing enterprise-grade, globally distributed data operations with regulated data requirements.\n͏\nSolution Design\nAs a Snowflake Data Engineer at Wipro Technologies, you will spearhead the design of scalable cloud data solutions tailored to client-specific business scenarios. You will facilitate technical design workshops and collaborate closely with project managers and technical architects to ensure solution alignment with enterprise architecture roadmaps and business objectives. Your role includes analyzing complex data integration challenges and architecting modular, reusable components that balance performance and maintainability.\n͏\nCoding, Configuration & Implementation\nYou will ensure high-quality code delivery by reviewing implementations thoroughly, resolving technical challenges within the engineering team, and establishing consistent data replication and transformation patterns compliant with project standards. Throughout the software development lifecycle, you will work with project managers and agile teams to ensure seamless integration, staging, and deployment of data solutions. Your role extends to implementing automated pipelines, validating configurations, and driving adoption through comprehensive user documentation and training materials designed to minimize operational risks and facilitate smooth transitions during deployments.\nAdditionally, you will proactively conduct root-cause analysis for recurring issues, optimize system performance, and recommend refinements to accelerate response times and enhance data reliability.\n͏\nCompetencies and Skills\nTechnical Expertise: Advanced proficiency in Snowflake data engineering, including architecture, ELT design, query optimization, and cloud integration.\nCommunication: Clear, effective communication skills to engage diverse stakeholders, articulate complex technical concepts, and collaborate across multidisciplinary teams.\nCollaborative Working: Ability to foster a cooperative environment, working inclusively with peers, product owners, and business units.\nPassion for Results: Drive to deliver high-impact, quality solutions within defined timelines and budget, balancing innovation with practicality.\nClient Centricity: Focus on understanding client needs and delivering tailored solutions that drive business value.\nLearning Agility: Adaptability and eagerness to embrace emerging technologies, best practices, and evolving industry standards.\nProblem Solving & Decision Making: Analytical mindset to identify root causes of issues promptly and make informed, effective decisions.\n Execution Excellence: Commitment to rigorous implementation, testing, and continuous improvement to uphold operational excellence.\nMandatory Skills: Snowflake Data Engineering.Experience: 5-8 Years\n.Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. 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