{"id":3262747,"url":"https://alion.io/job/cargill-application-developer-4","title":"Application Developer","company":{"id":452956,"name":"Cargill","domain":"cargill.com","url":"https://alion.io/company/cargill-3","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":534,"ghost_share":0.004,"stale_share":0,"repost_share":0.159,"time_to_fill_p50_days":19,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Backend","role_family":"Backend","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":168},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"ETL/ELT","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-24T02:00:00Z","employer_posted_date":"2026-10-24","last_verified_at":"2026-10-30T13:40:31Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Job Purpose and Impact\nWe are building CRR (Corporate Risk Reporting), an enterprise platform delivering critical commodity risk insights. As a QA Engineer, you will be responsible for ensuring the accuracy, reliability, and consistency of data pipelines and risk reporting outputs. You will work closely with data engineers, SQL developers, and Application Developers to validate data flows and ensure alignment with business requirements.\nKey Accountabilities\nData & Functional Validation\nValidate end-to-end data flows from source systems (SAP/ODP, CTRM, pricing) into Aurora/PostgreSQL.\nPerform data validation and reconciliation to ensure accuracy, completeness, and consistency.\nSupport validation of risk outputs (positions, exposures, pricing, P&L) against defined business logic\nPipeline & Ingestion Testing\nTest ETL/ELT pipelines for correctness, data integrity, and consistency.\nValidate snapshot and delta ingestion processes, including CDC scenarios.\nVerify handling of edge cases such as data ordering, duplication (idempotency), and recovery.\nTest Automation & Execution\nDevelop and maintain test cases and automated test scripts for data pipelines and SQL transformations.\nExecute functional, regression, and integration testing across data and reporting layers.\nContribute to test automation frameworks using Python or similar tools.\nPerformance & EOD Validation\nSupport testing of high-volume data processing, especially end-of-day (EOD) workloads.\nIdentify data discrepancies and performance issues during peak processing.\nDefect Management & Collaboration\nLog, track, and support resolution of defects and data issues.\nWork closely with engineers and analysts to analyze root causes and validate fixes.\nParticipate in test planning, sprint activities, and release validation.\nQualifications\nMinimum requirement of 3 years of relevant work experience, typically reflecting 5+ years in QA/testing for data platforms, ETL pipelines, or analytics systems.\nProven ability to balance hands-on technical contribution and cross-team influence.\nStrong communication skills with the ability to engage effectively with both technical and business stakeholders.\nRequired Skills:\nMandatory:\nStrong proficiency in SQL for data validation and analysis.\nExperience with ETL/ELT processes and data pipeline testing.\nUnderstanding of data quality concepts and validation techniques.\nFamiliarity with test automation using Python or similar tools.\nBasic understanding of CDC patterns, schema evolution, and data integrity principles.\n Good to Have:\nExperience with AWS data services (Glue, Lambda, Step Functions, DMS).\nKnowledge of PostgreSQL/Aurora databases.\nExposure to event-driven systems (e.g., Kafka).\nProficient in containerization and orchestration using Docker and Kubernetes\nFamiliarity with financial, trading, or risk management systems","description_format":"text","description_chars":2851,"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":["Meat & Poultry","Animal 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