{"id":3316308,"url":"https://alion.io/job/careerwise-usa-data-engineer","title":"Data Engineer","company":{"id":1938932,"name":"CareerWise USA","domain":"careerwiseusa.org","url":"https://alion.io/company/careerwiseusa","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":21000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-27T00:21:52Z","employer_posted_date":null,"last_verified_at":"2026-10-27T00:21:52Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Job Description: Senior Microsoft Fabric Data Engineer (L3)\n\nLocation: Bangalore\nWork Model: Hybrid – 2 days onsite per week\nExperience: 7+ years in data engineering, with strong hands-on Microsoft Fabric project experience\n\nAbout the Role\n\nWe are looking for an experienced Senior Microsoft Fabric Data Engineer to design, develop and deliver scalable enterprise data solutions using Microsoft Fabric and Azure technologies.\n\nThis role requires a strong hands-on engineer who can independently own data engineering delivery, make technical implementation decisions, troubleshoot complex issues and optimise data pipelines for performance, reliability and scalability.\n\nYou will work closely with data architects, analytics teams and business stakeholders to develop robust data platforms that support business intelligence, advanced analytics, AI and enterprise reporting.\n\nThis is a hands-on engineering role, not a Power BI reporting or platform administration position.\n\nKey Responsibilities\nDesign, develop and maintain production-grade data pipelines and data products using Microsoft Fabric.\nBuild scalable data ingestion, transformation and orchestration solutions using Fabric Data Factory, notebooks and other relevant Fabric capabilities.\nImplement Lakehouse and Warehouse solutions using appropriate data engineering patterns.\nDesign and implement Medallion Architecture (Bronze, Silver and Gold) for structured and semi-structured data processing.\nDevelop robust ETL/ELT pipelines, incremental data loads and data transformation frameworks.\nWrite and optimise SQL and Python/PySpark code to process and transform data efficiently.\nTroubleshoot pipeline failures, data quality issues, performance bottlenecks and production incidents.\nImplement data validation, monitoring, logging, error handling and recovery mechanisms.\nApply data governance, security, data lineage and metadata management practices.\nContribute to CI/CD, Git integration, deployment automation and release management using Azure DevOps or equivalent tools.\nEnsure engineering solutions follow established architectural standards, coding practices and quality guidelines.\nCollaborate with architects, product owners and stakeholders to translate business requirements into technical solutions.\nContribute to technical design discussions, code reviews and continuous improvement initiatives.\n\nEssential Technical Skills\nStrong hands-on experience delivering solutions using Microsoft Fabric Data Engineering capabilities.\nPractical experience with Microsoft Fabric Lakehouse, Data Factory, notebooks and data pipelines.\nExperience with OneLake, Fabric Warehouse and Delta tables where relevant to project requirements.\nStrong SQL skills and experience with data modelling and query optimisation.\nProficiency in Python and/or PySpark for data engineering development.\nStrong understanding of ETL/ELT, data ingestion, transformation and orchestration.\nExperience implementing incremental processing, data quality checks and reliable pipeline execution.\nExperience working with Azure data platform services.\nUnderstanding of Git, CI/CD, Azure DevOps and deployment practices.\nKnowledge of data security, governance, monitoring and observability.\n\nExperience and Seniority Requirements\nIdeally 7+ years of overall Data Engineering experience.\nDemonstrable hands-on experience delivering Microsoft Fabric solutions in real projects.\nExperience taking ownership of data engineering solutions from design through development, deployment and production support.\nAbility to independently investigate technical problems and recommend appropriate solutions.\nExperience working in Agile delivery environments.\nStrong communication skills and the ability to collaborate with technical and non-technical stakeholders.\n\nWhat We Are Looking For\nThe ideal candidate will be able to explain the architecture of a Microsoft Fabric solution they have personally implemented, including data ingestion, transformations, storage, orchestration, deployment and production support.\n\nWe are particularly interested in engineers who have built and optimised real-world Fabric solutions rather than candidates whose exposure is limited to certification, training, basic administration or Power BI 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