{"id":1969515,"url":"https://alion.io/job/bosch-senior-data-engineer-ms-fabric","title":"Senior Data Engineer - MS Fabric","company":{"id":132,"name":"Bosch","domain":"bosch.com","url":"https://alion.io/company/bosch","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":929,"ghost_share":0,"stale_share":0.995,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-10T05:45:15Z"}},"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":{"min_usd":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"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":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"NLP","optional":true},{"name":"NLTK","optional":true}],"status":"live","first_seen_at":"2026-10-06T18:12:38Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-12T03:47:54Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Roles & Responsibilities :\nWe are seeking a skilled Senior Data Engineer with expertise in Databricks to join our dynamic data team. The ideal candidate will design, build, and maintain scalable data pipelines and architectures to support our organization's data-driven initiatives and leverage Databricks to process large-scale datasets, optimize data workflows, enable advanced analytics and machine learning, and integrate Power BI for data visualization and reporting.\nKey Responsibilities\n5-8 years of professional work experience in a relevant field\n\nProficient in Microsoft Fabric platform, Azure Databricks, ADF, Delta Lake, SQL Data Warehouse, Unity Catalog.\n\nGood Experience on Microsoft Dynamics 365Experience/ prior knowledge on semi structure data and Structured Streaming, Azure synapse, data lake, data warehouse.\n\nProficient in creating Azure Data Factory pipelines for ETL/ELT processing; copy activity, custom Azure development etc.\n\nGood knowledge of SQL and Python for data manipulation, transformation, and analysis\n\nUnderstand business requirements to set functional specifications for reporting applications\n\nData Pipeline Development: Design, develop, and maintain robust, scalable data pipelines using Databricks, Apache Spark, and other cloud-based technologies.\nData Integration: Ingest, transform, and integrate data from diverse sources, including APIs, databases, streaming platforms, and third-party systems, into Databricks for analytics and reporting.\nPower BI Integration: Develop and optimize data models and datasets in Databricks for use in Power BI, ensuring efficient data connections and high-quality visualizations.\nPerformance Optimization: Optimize data workflows, API calls, and queries on Databricks and Power BI for performance, cost-efficiency, and scalability.\nData Modeling: Build and maintain data models to support business requirements, ensuring data quality, consistency, and accessibility for analytics and reporting.\nCloud Integration: Implement data solutions on cloud platforms (e.g., AWS, Azure, GCP) integrated with Databricks, Power BI, and API ecosystems.\nSecurity & Compliance: Implement data governance, security, and compliance best practices within Databricks, Power BI, and API environments.\nTechnical Skills:\nProficiency in Databricks, including Delta Lake, Spark SQL.\n\nStrong programming skills in Python, Scala, or Java.\n\nExperience with Apache Spark for big data processing.\n\nKnowledge of SQL for querying and transforming data.\n\nProficiency in Power BI for creating data models, DAX queries, and interactive dashboards.\n\nPreferred Qualifications\nDatabricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).\n\nExperience with real-time data processing and streaming (e.g., Kafka, Spark Streaming).\n\n Educational qualification:\nBE/B.Tech or Equivalent Degree\nExperience :\n2-5 Years\nMandatory/requires Skills :\nStrong hands-on expertise in Python (or Java), NLP, RegEx, SpaCy, NLTK and DevOps\nPreferred Skills 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