{"id":3810813,"url":"https://alion.io/job/samsung-electronics-azure-databricks-data-engineer","title":"Azure Databricks Data Engineer","company":{"id":166,"name":"Samsung Electronics","domain":"samsung.com","url":"https://alion.io/company/samsung","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":139,"ghost_share":0.007,"stale_share":0.547,"repost_share":0.058,"time_to_fill_p50_days":36,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","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":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"MLFlow","optional":true},{"name":"SAP BW","optional":true},{"name":"SAP HANA","optional":true}],"status":"live","first_seen_at":"2026-11-05T14:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-05T14:35:00Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We are looking for an experienced Azure Databricks Data Engineer with strong expertise in building scalable data engineering solutions, enterprise-grade ETL/ELT pipelines, and large-scale data processing. The ideal candidate should have hands-on experience with Azure Databricks, PySpark, Python, SQL, Delta Lake, and Lakehouse architecture, as well as SAP integration.\n\nResponsibilities: \nDesign, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks, PySpark, Python, and SQL.\nImplement Delta Lake and Medallion Architecture (Bronze, Silver, and Gold layers).\nDevelop and manage Delta Live Tables (DLT) or Lakeflow Declarative Pipelines.\nBuild real-time data processing solutions using Spark Structured Streaming, Kafka, or Azure Event Hubs.\nWork with ADLS Gen2, Azure Data Factory, Azure DevOps, and Git.\nImplement data governance, security, and access controls using Unity Catalog.\nPerform Spark performance tuning and optimize data processing workflows.\nIntegrate enterprise data sources, particularly SAP, SQL Server, Power BI, and REST APIs.\nSupport production pipelines, troubleshooting, and data quality.\n\nRequirements: \n4-8 years of experience in data engineering.\nStrong hands-on experience with Azure Databricks, PySpark, Python, SQL, and Apache Spark.\nGood understanding of Delta Lake, Lakehouse, and Medallion Architecture.\nExperience with DLT or Lakeflow Declarative Pipelines.\nKnowledge of ADLS Gen2, Azure Data Factory, and Azure DevOps.\nPractical experience with Unity Catalog and data governance.\nExperience with SAP integration and SAP data ingestion into Azure Databricks.\nKnowledge of Structured Streaming, Kafka, or Azure Event Hubs.\n\nPreferred Qualifications: \nMicrosoft Azure or Databricks certifications.\nExperience in manufacturing or industrial data environments.\nExposure to MLflow, feature engineering, and AI/ML data pipelines.\nBachelor's degree in computer science, IT, engineering, or a related discipline.\nSkills\nADF, ADLS Gen2, Azure Data Factory, Azure Data Lake Storage, Azure Databricks, DLT, Delta Lake, Delta Live Tables, Lakeflow, Lakehouse, Medallion Architecture, PySpark, Python, SAP, SAP BW, SAP ERP, 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