{"id":2803420,"url":"https://alion.io/job/ace-recruit-data-engineer-sqlpython","title":"Data Engineer - SQL/Python","company":{"id":3800671,"name":"Ace Recruit","domain":"acerecruit.in","url":"https://alion.io/company/ace-recruit","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":35000,"period":"year","method":"role_seniority_country_cell","sample_n":21},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"MySQL","optional":false},{"name":"NER","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"ElasticSearch","optional":true},{"name":"Gemini","optional":true},{"name":"HIPAA","optional":true},{"name":"Least Privilege","optional":true},{"name":"LLM","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenSearch","optional":true},{"name":"Terraform","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-07-22T11:25:36Z","employer_posted_date":null,"last_verified_at":"2026-07-22T11:25:36Z","board_verified":false,"closed_at":null,"days_open":87,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":87},"description":"Mid-Level Healthcare Data Engineer\n\nWe are looking for a Mid-Level Healthcare Data Engineer to help design, develop, test, and support cloud-based healthcare data pipelines and backend services on Azure/AWS/Google Cloud Platform. This role will work closely with senior engineers to process healthcare files from GCS, support event-driven workflows using Pub/Sub/Eventarc, implement data processing using Cloud Run/Dataflow, load data into SQL/BigQuery, relational databases, document databases, and support integration with FHIR Store and downstream applications. The role may also support search and AI-assisted capabilities for healthcare PDFs, CCDA files, FHIR data, and clinical documents using search indexes, embeddings, NER tools, and semantic search pipelines.\n\nRequired Skills:\n\n- 35+ years of hands-on database experience, data engineering experience including relational databases, Bigquery and document databases\n\n- 3+ years of hands-on database experience, including SQL, relational database concepts, data modeling, query writing, indexing basics, and data validation.\n\n- 2+ years of cloud experience, preferably on Google Cloud Platform.\n\n- Strong programming experience, especially with Python, including:\n\n1. Object-oriented programming\n\n2. Modular code development\n\n3. Error handling\n\n4. Logging\n\n5. Unit testing\n\n6. Package management\n\n7. Backend or data pipeline development\n\n- Experience with RDBMS technologies, such as PostgreSQL, MySQL, SQL Server, Oracle, or equivalent.\n\n- Experience building or supporting data pipelines, including batch, event-driven, API-based, or streaming workflows.\n\n- Hands-on experience with GCP services such as: GCS, Pub/sub, Cloud Run, Data flow\n\n- Experience integrating with external APIs, including authentication, retries, error handling, and basic monitoring.\n\n- Docker experience for containerized application development.\n\n- Git/GitHub experience, including branching, pull requests, and code reviews.\n\n- Experience with CI/CD pipelines, preferably using GitHub Actions, Cloud Build, or similar tools.\n\n- Ability to debug application, pipeline, database, and cloud service issues using logs and monitoring tools.\n\n- Ability to write clean, maintainable, testable, and well-documented code.\n\n- Ability to work from architecture diagrams, technical specifications, and implementation tickets.\n\nPreferred Skills:\n\n- Cloud certification or Database Certification\n\n- Google Cloud Healthcare API experience.\n\n- Exposure to FHIR R4, HL7, CCDA, clinical data integration, or healthcare interoperability.\n\n- Exposure to embeddings, semantic search, ElasticSearch, OpenSearch, or vector databases.\n\n- Experience with Gemini, Vertex AI, OpenAI API, or other LLM API integrations.\n\n- Terraform or Infrastructure-as-Code exposure.\n\n- HIPAA, PHI, healthcare security, or compliance awareness.\n\nKey Responsibilities:\n\n- Design, build and support scalable healthcare data pipelines on GCP.\n\n- Process healthcare files from GCS and route them through Pub/Sub, Eventarc, Cloud Run, Dataflow, BigQuery, FHIR Store, and downstream systems.\n\n- Design relational and cloud database schemas for operational, analytical, and document-oriented workloads.\n\n- Build APIs to monitor pipeline status, file processing, Pub/Sub messages, Dataflow jobs, Cloud Run services, BigQuery loads, and FHIR data validation.\n\n- Design database models for pipeline metadata, orchestration configuration, processing history, audit logs, document metadata, and search indexes.\n\n- Implement batch and streaming data pipelines.\n\n- Build data validation, reconciliation, retry, and dead-letter handling processes.\n\n- Integrate structured, semi-structured, and unstructured healthcare data.\n\n- Support semantic search, NER, embeddings, and search result snippets for healthcare documents.\n\n- Optimize database performance, query cost, indexing strategy, and storage design.\n\n- Implement monitoring, logging, alerting, and operational traceability.\n\n- Ensure secure handling of healthcare data, including PHI-aware design and least-privilege access.\n\n- Mentor mid-level and junior engineers and define engineering best practices.\n\n- Debug production and non-production issues using Cloud Logging, Cloud Monitoring, and application logs.\n\n- Participate in code reviews and follow engineering best practices.\n\n- Work with senior engineers to implement scalable, secure, and maintainable cloud data solutions.\nSkills\nPython, SQL, BigQuery, Data Engineering, FHIR, Data Modeling, HIPAA","description_format":"text","description_chars":4494,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing"],"lifecycle":[{"event":"open","at":"2026-10-18T01:22:52Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long 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