{"id":3739649,"url":"https://alion.io/job/dataart-senior-data-qe-engineer-hyderabad-based","title":"Senior Data QE Engineer, Hyderabad-based","company":{"id":46984,"name":"DataArt","domain":"dataart.com","url":"https://alion.io/company/dataart-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":19,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Apache NiFi","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Grafana","optional":false},{"name":"Jira","optional":false},{"name":"Kanban","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"TestRail","optional":false}],"status":"live","first_seen_at":"2026-11-04T11:27:30Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-08T13:25:02Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"We are looking for a Senior Data QE Engineer with solid experience in ETL testing and data validation, and strong SQL skills. You will design and run data quality tests, validate pipelines end to end, reconcile source and analytical data, and give engineering and business teams evidence for release decisions.\nYou will also automate comparisons in Python, work with Airflow pipeline runs, and use AWS and Grafana to observe pipeline health.\nYou will use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and you will review generated output before it is used.\nThis position is intended for Hyderabad-based candidates who are available to work from the office.\nThe client runs a large application landscape and the analytical datasets behind it. Data moves from PostgreSQL sources on AWS into Snowflake through orchestrated pipelines. Quality for that data is part of delivery: test design, checks on movement and transformation, quality metrics, and practical help when data has to be corrected.\nData QE engineers own that hands-on work for data moving from source systems into analytical datasets, from test design through execution, investigation, and release-readiness reporting.\nOwn data quality for data moving from source systems into analytical datasets, from test design through execution, investigation, and reporting.\nDesign, implement, and execute data quality tests, and publish quality metrics and dashboards that producing and consuming groups can use.\nValidate pipelines end to end, covering movement, transformation, completeness, history, freshness, and compliance.\nWrite reconciliation, drift, and quality SQL on Snowflake layered models (raw, history, silver, and gold), including slowly changing dimensions and merge behavior.\nValidate PostgreSQL sources with consistent snapshot counts and checks that logical replication kept the expected data.\nUse logical and physical data models and data contracts to assess downstream impact and set quality coverage.\nAutomate data comparison and reconciliation in Python with pytest, and keep the checks in GitHub.\nTrigger pipeline runs in Airflow and read task results into the quality verdict.\nInvestigate quality issues and support remediation with the groups that produce and consume the data.\nDesign failover, outage, and volume tests and judge the evidence, including recovery time and recovery point. The platform team executes destructive and chaos tests.\nRun read-only checks in pre-production and production.\nIntegrate quality checks with CI/CD on GitHub Actions or an equivalent tool.\nUse AWS and Grafana to observe pipeline health, including CloudWatch metrics, secrets metadata, and container platform state.\nCheck classification, masking, and retention against the stated data rules.\nTrack defects to closure in Jira and keep test cases and results in TestRail.\nProvide quality evidence, risks, and readiness input for releases.\nUse an AI coding assistant to analyze data and author SQL, Python, and quality checks, and review generated output before it is used.\nSenior-level data quality engineering experience in ETL testing and data validation.\nStrong SQL and Snowflake data-modelling experience, including layered raw, history, silver, and gold models, reconciliation and drift queries, and slowly changing dimensions and merge behavior.\nExperience with logical and physical data models and with assessing the downstream impact of schema and data-contract changes.\nExperience validating PostgreSQL sources, including consistent snapshot counts and logical replication.\nHands-on Python automation for data comparison and reconciliation, using pytest or an equivalent framework.\nExperience running and reading orchestrated pipelines in Airflow or an equivalent scheduler.\nExperience validating data movement, transformation, completeness, history, freshness, and compliance from source systems into analytical datasets.\nExperience diagnosing data quality issues and supporting remediation.\nExperience integrating data quality checks with CI/CD using GitHub Actions or equivalent tools.\nExperience with test management and defect tracking in TestRail and Jira.\nWorking knowledge of AWS and Grafana for pipeline observation, including CloudWatch, secrets management, and container platforms.\nExperience designing resilience tests and judging evidence for failover, outage, volume, and recovery objectives.\nWorking knowledge of data classification, masking, and retention checks.\nExperience producing data quality metrics, reports, and dashboards.\nExperience with risk-based testing in Agile or Kanban teams.\nHands-on use of AI coding assistants (Cursor, GitHub Copilot, Claude Code, Codex, or equivalent) to author SQL, Python, and quality checks, with human review of generated output.\nAbility to communicate clearly with engineering and business stakeholders.\nExperience providing quality evidence, risks, and readiness input for releases.\nExperience observing Snowflake Openflow or NiFi connector state well enough to recognize a stalled load.\nExperience with custom cross-table data quality checks that publish results for dashboarding.\nFamiliarity with GenAI, LLMs, and agentic workflows for maintaining data quality checks.\nFamiliarity with RAG and MCP concepts for QE tooling and for generating test data.\nKnowledge of AI-driven test optimization and coverage analytics (SeaLights or equivalent).\nExperience with service virtualization using WireMock or an equivalent tool, so checks can run when a dependency is unavailable.\nExperience specifying and reviewing dbt tests. Developers author those tests.","description_format":"text","description_chars":5618,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-11-04T11:27:30Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":27,"reasons":["conf:16","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-09T06:03:00Z"},"pay":null,"html_url":"https://alion.io/job/dataart-senior-data-qe-engineer-hyderabad-based","json_url":"https://alion.io/job/dataart-senior-data-qe-engineer-hyderabad-based.json","meta":{"generated_at":"2026-11-09T09:16:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8638,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":46984},"rest":"https://alion.io/mcp/rest/get_company?id=46984"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdataart-senior-data-qe-engineer-hyderabad-based"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdataart-senior-data-qe-engineer-hyderabad-based"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdataart-senior-data-qe-engineer-hyderabad-based"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/dataart-senior-data-qe-engineer-hyderabad-based\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdataart-senior-data-qe-engineer-hyderabad-based"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3739649}},{"tool":"search_jobs","arguments":{"company":"dataart.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3739649},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}