{"id":4320954,"url":"https://alion.io/job/employvision-senior-azure-databricks-data-engineer","title":"Senior Azure Databricks Data Engineer","company":{"id":4480833,"name":"Employvision","domain":"employvision.com","url":"https://alion.io/company/employvision","size_band":null,"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":"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":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"GitHub","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-14T17:29:01Z","employer_posted_date":null,"last_verified_at":"2026-11-14T17:29:01Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Hiring: Senior Azure Databricks Data Engineer\nExperience: 5+ Years (Minimum 5+ years of hands-on Azure Databricks experience)\nShift Timing: UK Shift – 3:00 PM to 12:00 AM IST\nSalary: Open, based on experience and technical expertise\nJob Overview\nWe are looking for an experienced Senior Azure Databricks Data Engineer to design, develop, and maintain scalable data pipelines and enterprise data solutions.\nKey Responsibilities\nDevelop batch, incremental, CDC, and streaming data pipelines.\nBuild and maintain lakehouse solutions using Azure Databricks, Delta Lake, and Unity Catalog.\nWork on data integration, transformation, validation, and data modeling.\nDevelop solutions using Python, PySpark, Spark SQL, and SQL.\nImplement data security, quality, monitoring, and performance optimization.\nManage CI/CD, GitHub/Azure DevOps, automated testing, and deployments.\nProvide production support and collaborate with cross-functional teams.\nRequired Skills\nAzure Databricks, PySpark, Python, Spark SQL, and SQL.\nDelta Lake and Unity Catalog.\nAzure Data Lake Storage Gen2 (ADLS Gen2).\nDatabricks Jobs and Workflows.\nAzure Key Vault, Microsoft Entra ID, and RBAC.\nData Modeling, CDC, CI/CD, and Production Support.\nInterested Candidates:\nCandidates currently working with relevant Azure Databricks experience are encouraged to share their updated 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