{"id":3062274,"url":"https://alion.io/job/unisongroup-sr-data-engineer-databricks","title":"Sr Data Engineer (Databricks)","company":{"id":448684,"name":"Unison Group","domain":"unisongroup.com","url":"https://alion.io/company/unisongroup","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":73,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-28T05:59:10Z"}},"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":21000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power Automate","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-29T04:50:53Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":27},"description":"Position Overview:\nLead the design, architecture, and optimization of enterprise-scale data pipelines using Azure Databricks for ACDP projects, driving innovation in DATA & AI initiatives. \nLeverage 7-8 years of expertise to mentor teams, ensure scalability, and deliver mission-critical data solutions. \nKey Responsibilities:\nArchitect and implement end-to-end data pipelines with Azure Databricks (notebooks, jobs, clusters) for ingestion, ETL/ELT, and complex transformations, incorporating Medallion Architecture (Bronze, Silver, Gold) using Delta Lake for ACID compliance, versioning, schema evolution, and data quality. \nProvide hands-on leadership in Databricks Spark (PySpark, Scala, SQL), Delta Live Tables, Structured Streaming, and Unity Catalog for advanced governance, security, and multi-workspace management. \nIntegrate with Azure ecosystem including ADLS Gen2, Azure SQL Database, Serverless/Dedicated SQL Pools; 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