{"id":1252253,"url":"https://alion.io/job/ns-global-corporation-data-engineer","title":"Data Engineer","company":{"id":3800107,"name":"NS Global Corporation","domain":"nsglobalcorporation.com","url":"https://alion.io/company/ns-global-corporation","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":54},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-15T10:32:25Z","employer_posted_date":null,"last_verified_at":"2026-09-15T10:32:25Z","board_verified":false,"closed_at":null,"days_open":22,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":22},"description":"Job Overview : \n\nWe are looking for an experienced Data Engineer with 7+ years of experience in data engineering, with strong hands-on expertise in ETL/ELT, Databricks, GCP BigQuery, Python, and SQL. The ideal candidate should have experience designing, developing, and maintaining scalable data pipelines and data processing solutions.\n\nKey Responsibilities : \n\n- Design, develop, and maintain scalable data engineering solutions.\n\n- Develop and manage ETL/ELT pipelines for data ingestion, transformation, and processing.\n\n- Work extensively with Databricks for data engineering and data processing requirements.\n\n- Develop and optimize data solutions using GCP BigQuery.\n\n- Develop data engineering solutions using Python.\n\n- Write and optimize SQL queries for data extraction, transformation, analysis, and processing.\n\n- Perform data transformation, integration, and processing across various data sources.\n\n- Build and maintain reliable, scalable, and optimized data pipelines.\n\n- Troubleshoot and resolve data pipeline and data processing issues.\n\n- Collaborate with technical and business teams to understand data requirements and deliver effective data 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