{"id":4091447,"url":"https://alion.io/job/talentmatics-databricks-engineer","title":"Databricks Engineer","company":{"id":4521187,"name":"TalentMatics","domain":"talentmatics.com","url":"https://alion.io/company/talentmatics","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":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"GCP","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Dimensional Modeling","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-11T17:22:31Z","employer_posted_date":null,"last_verified_at":"2026-11-11T17:22:31Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are Hiring: Senior Data Engineer – DatabricksLocation: Pune, India\nExperience: 6 – 8 Years\nEmployment Type: Full-time\nAbout the Role\nWe are seeking an experienced Senior Data Engineer – Databricks to design, develop, and optimize scalable data platforms using the Databricks Lakehouse architecture.\nIn this role, you will build modern data pipelines, implement Delta Lake best practices, and leverage cutting-edge Databricks capabilities. You will bring strong hands-on development skills, mentor junior engineers, and deliver enterprise-grade data engineering solutions on cloud platforms.\nKey Responsibilities\nDesign and build production data ingestion pipelines using Auto Loader (cloudFiles, schema inference, and evolution).\nDevelop robust, declarative data pipelines using Delta Live Tables (DLT) / Spark Declarative Pipelines (SDP).\nImplement governance, permissions, and metastore management via Unity Catalog.\nOrchestrate multi-task workflows and complex jobs using Databricks Workflows.\nPerform large-scale data processing using PySpark and Spark SQL.\nArchitect and optimize Delta Lake / Delta Tables for ACID transactions, schema enforcement, and versioning.\nBuild or support AI/BI dashboards using Databricks SQL Dashboards, Genie, or similar BI tools.\nCollaborate across cloud storage architectures (Azure / AWS / GCP).\nWhat We Are Looking For\nWork Experience: 6 to 8 years in Data Engineering.\nCore Tech Stack: Strong proficiency in PySpark, Spark SQL, Delta Lake, and Databricks Lakehouse architecture.\nAdvanced Databricks Features: Hands-on expertise in Auto Loader, DLT/SDP, Unity Catalog, and Databricks Workflows.\nData Warehousing: Solid grasp of dimensional modeling, star/snowflake schemas, data marts, and Slowly Changing Dimensions (SCD Type 1/2).\nCloud Integration: Practical experience with AWS, Azure, or GCP cloud storage & security integrations.\nLocation: Must be based in or willing to relocate to Pune.\nWhy Join Us\nWork on modern enterprise-grade data solutions and AI/BI platforms.\nCollaborative engineering environment with clear growth and leadership opportunities.\nCompetitive compensation package.\nHow to Apply:\nIf you are passionate about building modern data platforms, apply directly or send your updated resume to [HIDDEN TEXT]/ Call on ].\n#DataEngineering #Databricks #PySpark #PuneJobs #HiringDataEngineers #DeltaLake #UnityCatalog #AzureDatabricks #AWSDatabricks 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