{"id":1266451,"url":"https://alion.io/job/exl-data-engineer","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":50,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-02T05:45:00Z"}},"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":["Pune, India","Gurgaon, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"ETL/ELT","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true},{"name":"TypeScript","optional":true}],"status":"closed","first_seen_at":"2026-09-04T08:27:17Z","employer_posted_date":null,"last_verified_at":"2026-10-02T05:40:00Z","board_verified":false,"closed_at":"2026-10-02T05:40:00Z","days_open":27,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":27},"description":"Job Description :\n\nWe are seeking a seasoned Data Engineer with 5 - 7 years of experience in data engineering, cloud platforms and distributed systems, along with 2+ years of hands-on experience with Palantir Foundry/ AIP & Palantir Ontology.\n\nThe ideal candidate will work on designing scalable data solutions, building robust data pipelines, modelling enterprise datasets and enabling analytics and AI/ML use cases on Palantir Foundry.\n\nExperience in the insurance domain is a plus.\n\nRole & responsibilities :\n\n- 5 - 7 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms.\n\n- 2+ years of hands-on experience with Palantir Foundry, including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications.\n\n- Experience building interactive applications using Foundry Workshop, Slate and custom frontends using TypeScript.\n\n- Proficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript.\n\n- Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).\n\n- Deep understanding of microservices architecture and distributed systems.\n\n- Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines.\n\n- Experience with big data technologies like Snowflake.\n\n- Strong problem-solving and performance optimization skills.\n\n- Exposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes.\n\n- Experience working in agile environments delivering complex data engineering solutions.\n\n- Palantir Foundry certification or demonstrated project experience is highly preferred.\n\n- Prior experience in the Insurance domain is highly desirable.\nSkills\nData Engineering, Python, SQL, ETL, PySpark, Amazon Athena, Tensorflow, Big Data, Snowflake DB, Machine Learning, Palantir Foundry","description_format":"text","description_chars":1957,"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":[],"lifecycle":[{"event":"open","at":"2026-09-25T22:00:00Z"},{"event":"close","at":"2026-10-02T05:40:00Z"}],"liveness":null,"pay":null,"html_url":"https://alion.io/job/exl-data-engineer","json_url":"https://alion.io/job/exl-data-engineer.json","meta":{"generated_at":"2026-10-03T00:53:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":645,"day_limit":5000,"remaining_today":4355,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}