{"id":3398810,"url":"https://alion.io/job/wipro-databricks-data-engineering-5","title":"DataBricks - Data Engineering","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":15500,"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":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"Apache Kafka","optional":true},{"name":"dbt","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-28T13:31:04Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-31T02:44:45Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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\nThe purpose of this role is to facilitate application solutions by developing and reviewing module-level codes, creating replication patterns, performing root cause analysis to identify recurring issues and collaborating with internal and external stakeholders to ensure stable, well-documented deliverables that meet business objectives.\nJ͏ob Role:-\nAbout the Role\nHighly skilled Senior Databricks Platform Engineer to help build and scale a next-generation data platform supporting analytics, AI, governance, and self-service data consumption. The role focuses on engineering reusable platform capabilities, enabling enterprise-scale governance, improving observability, and driving operational excellence across the Databricks ecosystem.\nKey Responsibilities\n· Design and develop scalable data pipelines using Databricks, PySpark, SQL, and Delta Lake.\nBuild CDC, batch, and streaming ingestion frameworks for enterprise-scale workloads.\nImplement and manage Medallion Architecture (Bronze, Silver, Gold).\nDevelop governance solutions using Unity Catalog, including row-level security, data masking, and fine-grained access controls.\nBuild and maintain Data Quality, Monitoring, and Observability frameworks.\nImplement CI/CD pipelines using Databricks Asset Bundles (DABS), Git, and Infrastructure as Code.\nOptimize Databricks clusters, SQL Warehouses, and workloads for performance and cost efficiency.\nEnable self-service analytics through semantic layers, metric views, governed datasets, and certified data products.\nPartner with platform, security, analytics, and business teams to drive adoption of Databricks capabilities.\nParticipate in architecture discussions, platform modernization initiatives, and stakeholder workshops. \nS͏kills:-\nRequired Skills\nDatabricks & Lakehouse\n· Databricks Lakehouse Platform\nDelta Lake\nUnity Catalog\nDatabricks Workflows\nAuto Loader\nStructured Streaming\nDatabricks SQL\nData Engineering\n· PySpark\nAdvanced SQL\nData Modeling\nETL/ELT Frameworks\nCDC Architectures\nReal-Time Data Processing\nNice to have: -\nPreferred Skills (These are not a must, nice to have)\n· Scala\ndbt\nKafka\nAirflow\nGenAI / AI Agents\nEnterprise Observability Solutions\nMandatory Skills: DataBricks - 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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