{"id":3039409,"url":"https://alion.io/job/exl-databricks-developer","title":"Databricks Developer","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":232,"ghost_share":0,"stale_share":0.991,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-07-03T08:31:26Z","employer_posted_date":"2026-07-03","last_verified_at":"2026-10-23T15:08:23Z","board_verified":true,"closed_at":null,"days_open":112,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":111},"description":"Role: Databricks Developer\nThe Databricks Data Engineer will be responsible for designing, building, and optimizing scalable data pipelines and lakehouse solutions using Databricks. The role requires strong hands-on experience in data engineering, distributed data processing.\nLocation: Gurgaon/Bangalore (5 days mandatory work from office)\nType: Full-time\nExperience: 5+ years\nKey Responsibilities\nDesign, build, and maintain ETL/ELT pipelines on Databricks using PySpark, Spark SQL, and Delta Lake.\nDevelop and optimize data ingestion frameworks, data transformations, and end-to-end workflows for batch and streaming use cases.\nImplement Delta Lake-based architectures, including versioning, schema evolution, and ACID-compliant pipelines.\nWork with stakeholders to understand data requirements and translate them into scalable data engineering solutions.\nManage and optimize Databricks clusters, jobs, and notebooks for performance and cost efficiency.\nEnsure data quality, reliability, and observability through validation frameworks and monitoring.\nContribute to data modeling, metadata management, and best practices within the data platform.\nMust have Skills & Experience\n3+ years of experience in data engineering with 2+ years of hands on expertise in Databricks.\nHands-on experience with Spark (PySpark/Spark SQL) and distributed data processing.\nSolid SQL knowledge and experience working with large-scale datasets\nStrong understanding of Delta Lake, medallion architecture, and scalable lakehouse patterns.\nGood understanding of CI/CD, Git, and modern DevOps practices for data pipelines.\nFamiliarity with structured/unstructured data, data quality frameworks, and performance tuning.\n Key Responsibilities\nDesign, build, and maintain ETL/ELT pipelines on Databricks using PySpark, Spark SQL, and Delta Lake.\nDevelop and optimize data ingestion frameworks, data transformations, and end-to-end workflows for batch and streaming use cases.\nImplement Delta Lake-based architectures, including versioning, schema evolution, and ACID-compliant pipelines.\nWork with stakeholders to understand data requirements and translate them into scalable data engineering solutions.\nManage and optimize Databricks clusters, jobs, and notebooks for performance and cost efficiency.\nEnsure data quality, reliability, and observability through validation frameworks and monitoring.\nContribute to data modeling, metadata management, and best practices within the data platform.\n 3+ years of experience in data engineering with 2+ years of hands on expertise in Databricks.","description_format":"text","description_chars":2565,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Process Outsourcing (BPO)","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-21T22:18:10Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long 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