{"id":2672727,"url":"https://alion.io/job/ntt-data-z2-azure-data-engineer-with-devops","title":"Z2_Azure Data Engineer with DevOps","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"B","score":75,"open_postings":30,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","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":27000,"max_usd":63000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":823},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Bicep","optional":false},{"name":"CDS Views","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"MS SQL","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SAP BW","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"ABAP","optional":true},{"name":"Agile","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-10-08T05:33:53Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-17T12:55:39Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Req ID: 388542\nNTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.\nWe are currently seeking a Z2_Azure Data Engineer with DevOps to join our team in Bangalore, Karnātaka (IN-KA), India (IN).\nKey Responsibilities\nBI FSL 2.0 Transformation & Solution Architecture\nLead the end-to-end architecture and execution of BI FSL 2.0 transformation from SAP BW/BW4HANA to neXtollo/Azure Databricks.\nTranslate existing SAP BW data models, transformations, process chains, extractors, and reporting logic into scalable Databricks Lakehouse patterns.\nDefine the target-state data architecture covering ingestion, bronze/silver/gold layers, semantic consumption, Power BI integration, and reusable data products.\nDesign SAP-to-Azure extraction and integration patterns using relevant approaches such as ODP, SLT, BW Bridge, APIs, CDC, or custom ETL frameworks.\nDrive fit-gap analysis between existing SAP BW capabilities and future-state neXtollo architecture.\nEstablish architecture standards, design principles, reusable engineering patterns, and governance guidelines for the transformation program.\nCollaborate with business stakeholders, SAP functional teams, platform teams, data engineers, Power BI teams, and program leadership to ensure aligned execution.\nAzure Data Engineering, DevOps & Platform Engineering\nDesign, build, and optimize enterprise-scale data pipelines using Azure Databricks, PySpark, Delta Lake, Azure Data Factory, and ADLS Gen2.\nImplement CI/CD pipelines for notebooks, workflows, data pipelines, infrastructure, configuration, and deployment across development, test, and production environments.\nAutomate infrastructure provisioning and environment setup using Infrastructure as Code, preferably Terraform or equivalent Azure-native tooling.\nDefine release management, branching strategy, code review process, deployment gates, rollback approach, and environment promotion standards.\nImplement observability, monitoring, alerting, logging, data quality checks, reconciliation, and operational dashboards for production-grade data platforms.\nEmbed DevSecOps practices including secure secret handling, service principals, managed identities, RBAC, Key Vault integration, policy compliance, and audit readiness.\nTroubleshoot migration defects, pipeline failures, data mismatches, performance bottlenecks, and production issues with structured root cause analysis.\nLeadership & Delivery Ownership\nProvide technical leadership to data engineers, developers, analysts, and external partners throughout the migration lifecycle.\nOwn architecture decisions and ensure alignment with enterprise cloud, security, data governance, and platform standards.\nSupport roadmap planning, sprint execution, dependency management, technical risk mitigation, and delivery governance.\nCreate solution documents, architecture decision records, migration playbooks, runbooks, and design review material for leadership and engineering teams.\nAct as a bridge between business outcomes and technical implementation, ensuring the platform enables reliable, faster, and future-ready analytics.\nRequired Technical Skills\nAzure, Databricks & Lakehouse Architecture\nAzure Databricks and Databricks Workflows\nDelta Lake, Medallion Architecture, and Lakehouse design\nAzure Data Factory or equivalent orchestration tools\nAzure Data Lake Storage Gen2 and cloud object storage patterns\nAzure SQL Database, Synapse Serverless SQL, or Databricks SQL\nUnity Catalog, data lineage, access control, and data product governance\nAzure Key Vault, Managed Identity, Service Principals, and secure connectivity\nPower BI consumption patterns and semantic layer enablement\nSAP BW/BW4HANA Migration & Integration\nStrong understanding of SAP BW/BW4HANA concepts, data models, InfoProviders, transformations, process chains, and reporting dependencies.\nExperience translating SAP BW logic into modern cloud data engineering patterns on Databricks.\nKnowledge of SAP data extraction approaches such as ODP, SLT, CDS Views, RFC/API-based extraction, BW Bridge, or third-party replication tools.\nAbility to assess migration complexity, data lineage, reconciliation needs, and functional equivalence between legacy and target platforms.\nExposure to SAP functional domains in logistics, supply chain, warehouse, transportation, or aftersales analytics is highly preferred.\nData Technologies\nPython\nPySpark\nSQL/T-SQL\nSpark\nDelta Lake\nData Modeling\nETL/ELT Design\nData Warehousing Concepts\nPerformance Tuning\nDevOps & Automation\nAzure DevOps, GitHub, or Git-based enterprise source control\nCI/CD pipeline design using YAML pipelines, GitHub Actions, or Azure DevOps pipelines\nInfrastructure as Code using Terraform, Bicep, ARM templates, or equivalent tooling\nRelease management, environment promotion, approval gates, and rollback strategy\nAutomated testing for data pipelines, data quality validation, and reconciliation frameworks\nDevSecOps controls for secrets, identity, policy, compliance, and audit traceability\nMonitoring & Security\nAzure Monitor\nLog Analytics\nApplication Insights\nAzure RBAC\nAzure Policy\nKey Vault Integration\nPreferred Skills\nExperience with large-scale SAP BW, data warehouse, or BI platform modernization programs.\nHands-on experience with Databricks Unity Catalog, Delta Sharing, Lakehouse Federation, or data marketplace patterns.\nExperience with near real-time streaming, Kafka, event-driven architecture, or CDC pipelines.\nExposure to SAP Business Data Cloud, SAP Datasphere, or SAP Databricks concepts.\nExperience with Agile/Scrum delivery, PI planning, roadmap execution, and multi-vendor collaboration.\nAbility to work in a hybrid global team setup across India, Germany, platform teams, and business stakeholders.\nQualifications\n10+ years of experience in data engineering, data architecture, BI modernization, or enterprise data platform delivery.\nMinimum 5+ years of hands-on experience with Microsoft Azure data services.\nMinimum 4+ years of hands-on experience with Azure Databricks, PySpark, Delta Lake, and Lakehouse implementation.\nMinimum 3+ years of practical DevOps experience for data platforms, including CI/CD and Infrastructure as Code.\nProven experience delivering complex migration or modernization programs from legacy data warehouses to cloud-native platforms.\nStrong ability to lead architecture discussions, guide engineering teams, and influence senior stakeholders.\nCertifications (Preferred)\nMicrosoft Certified: Azure Data Engineer Associate\nMicrosoft Certified: Azure DevOps Engineer Expert\nMicrosoft Certified: Azure Solutions Architect Expert\nDatabricks Certified Data Engineer Associate or Professional\nSuccess Criteria for This Role\nA clear and approved target architecture for BI FSL 2.0 on neXtollo/Azure Databricks.\nReusable migration patterns for SAP BW/BW4HANA objects, pipelines, data products, and Power BI consumption.\nAutomated and governed delivery process using CI/CD, IaC, monitoring, and DevSecOps controls.\nReliable data migration with strong reconciliation, performance, cost optimization, and production readiness.\nStrong collaboration across business, SAP, cloud platform, data engineering, and reporting teams.\nSoft Skills\nExcellent communication and stakeholder management skills.\nStrong analytical and problem-solving abilities.\nAbility to work independently and lead technical initiatives.\nMentoring and knowledge-sharing mindset.\nStrong documentation and presentation skills.\nAbout NTT DATA\nNTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.\nWhenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.\nNTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.","description_format":"text","description_chars":10083,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Centers & Colocation","Financial Software & Embedded Finance","IT Consulting & Digital Transformation","Managed IT Services (MSP)"],"lifecycle":[{"event":"open","at":"2026-10-16T04:24:04Z"}],"visa":[],"liveness":{"score":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.586,"p_room":0.9,"age_days":9,"expected_fill_days":22,"reasons":["conf:3","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/ntt-data-z2-azure-data-engineer-with-devops","json_url":"https://alion.io/job/ntt-data-z2-azure-data-engineer-with-devops.json","meta":{"generated_at":"2026-10-17T15:21:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":20760,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":50348},"rest":"https://alion.io/mcp/rest/get_company?id=50348"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fntt-data-z2-azure-data-engineer-with-devops"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fntt-data-z2-azure-data-engineer-with-devops"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fntt-data-z2-azure-data-engineer-with-devops"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ntt-data-z2-azure-data-engineer-with-devops\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fntt-data-z2-azure-data-engineer-with-devops"}]}