{"id":3240121,"url":"https://alion.io/job/yadimen-data-engineer-pyspark-aws-glue","title":"Data Engineer — PySpark + AWS Glue","company":{"id":4468521,"name":"Yadimen Consulting","domain":"yadimen.com","url":"https://alion.io/company/yadimen","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"B","score":75,"open_postings":39,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","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":14500,"max_usd":38000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Java","optional":true},{"name":"Rest API","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-06-01T00:00:00Z","employer_posted_date":"2026-06-01","last_verified_at":"2026-11-01T10:12:07Z","board_verified":true,"closed_at":null,"days_open":153,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":153},"description":"Data Engineer - PySpark + AWS Glue ETL & Data Pipelines | 2 Openings Location: Remote (UK)Employment Type: Contract / Permanent Experience Level: 4-8 Years Openings: 2\nAbout the Role We are looking for a skilled Data Engineer with solid hands-on experience in PySpark, AWS Glue, and ETL development to build and maintain scalable, production-grade data pipelines on AWS. 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