{"id":1621293,"url":"https://alion.io/job/exl-data-engineer-2","title":"Data Engineer","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":75,"open_postings":240,"ghost_share":0,"stale_share":0.988,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"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":17500,"max_usd":48000,"period":"year","method":"role_country_seniority_unknown","sample_n":120},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-26T10:17:41Z","employer_posted_date":"2026-11-01","last_verified_at":"2026-11-04T06:55:37Z","board_verified":true,"closed_at":null,"days_open":38,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":38},"description":"We are seeking a highly skilled Data Engineer to design, develop, and maintain scalable data pipelines supporting Property & Casualty (P&C) Insurance Pricing, Rating, Underwriting, and Actuarial Analytics. The ideal candidate will have strong expertise in SQL, Snowflake, PySpark, and Python, coupled with insurance domain knowledge across policy, claims, quote, coverage, and pricing datasets.\nThe candidate will work closely with Pricing Actuaries, Data Scientists, Business Analysts, and Cloud Engineering teams to deliver high-quality data assets that power predictive models, GLM pricing frameworks, rating updates, analytics, and regulatory reporting. 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