{"id":2073277,"url":"https://alion.io/job/exl-data-engineer-9","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":81,"open_postings":65,"ghost_share":0,"stale_share":0.954,"repost_share":0,"time_to_fill_p50_days":7,"computed_at":"2026-10-10T05:45:15Z"}},"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":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-08T07:16:44Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-11T19:15:31Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"As a Databricks & Snowflake Data Engineer, you will work closely with experienced data engineers, architects, and analytics teams to design, build, and optimize modern data platforms. You will be involved in the end-to-end data engineering lifecycle-from data ingestion and transformation to pipeline orchestration, data modeling, and performance optimization.\nThis role offers a hands-on learning environment where you'll work on real-world business challenges, gain exposure to cloud-based data platforms, and develop expertise in modern data engineering technologies including Databricks, Snowflake, Spark, Python, SQL, and cloud ecosystems.\n Work with senior data engineers and architects to build, optimize, and maintain scalable data pipelines and workflows.\nDevelop ETL/ELT processes using Databricks, Spark, Python, and SQL.\nDesign and implement data ingestion frameworks for structured and unstructured data sources.\nBuild and maintain data models, data marts, and analytical datasets in Snowflake.\nMonitor, troubleshoot, and improve data pipeline performance, reliability, and scalability.\nCollaborate with business stakeholders, analysts, and data scientists to 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