{"id":1123957,"url":"https://alion.io/job/granica-software-engineer-data-platform-bengaluru","title":"Software Engineer, Data Platform (Bengaluru)","company":{"id":8292,"name":"Granica","domain":"granica.ai","url":"https://alion.io/company/granica","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":70,"open_postings":10,"ghost_share":0.5,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","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":19500,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":139},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false},{"name":"AI Agents","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Datadog","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Grafana","optional":true},{"name":"Hadoop","optional":true},{"name":"Kubernetes","optional":true},{"name":"Prometheus","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-22T13:25:35Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-16T12:47:40Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":23},"description":"Join Granica’s core engineering team to design and scale systems powering data workflows, automation, and analytics. This is a deep engineering role-not feature delivery.\nWhat You’ll Do-\nBuild backend APIs and scalable data pipelines (Python, PySpark).\n\nWork with modern data lakehouse/warehouse tech (Iceberg, Delta Lake, Snowflake, Databricks).\n\nOrchestrate workflows (Airflow) and optimize big data frameworks.\n\nManage infra as code (Terraform) and ensure reliability with monitoring/logging.\n\nCollaborate across teams and with customers to solve complex data challenges and design seamless integration solutions.\n\nDrive best practices in scalability, reliability, and cost efficiency.\n\nWhat We're Looking For-\n5+ years in software/data engineering or infrastructure roles\n\nStrong Python skills (backend APIs a plus)\n\nProven ability to build scalable data pipelines from scratch\n\nHands-on with Apache Iceberg/Delta Lake + Snowflake/Databricks\n\nWorkflow orchestration expertise (Airflow, Luigi, etc.)\n\nBig data frameworks experience (Spark, Hadoop)\n\nFamiliar with monitoring/analytics tools (Prometheus, Grafana, ELK, Datadog)\n\nSkilled in designing scalable, reliable, cost-efficient systems\n\nExperience with large-scale distributed data architectures\n\nThrives in fast-paced startup environments\n\nExcellent problem-solving, communication, and customer-facing skills\n\nNice-to-Haves:\nHands-on experience with Terraform or other infrastructure-as-code tools.\n\nFamiliarity with security and privacy best practices in data processing pipelines.\n\nExposure to cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes).\n\nCompensation & Benefits\nCompetitive salary, meaningful equity, and performance bonus for top performers\n\n401(k) with company match, comprehensive health coverage, and unlimited PTO\n\nDaily catered meals in our Mountain View office\n\nSupport for research, publication, and conference participation\n\nAt Granica, you'll help build the next generation of enterprise AI -from exabyte-scale data infrastructure, Large Tabular Models (LTMs), and stateful AI agents. 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