{"id":2608920,"url":"https://alion.io/job/wowjobs-data-engineer-neo4j","title":"Data Engineer - Neo4j","company":{"id":3800240,"name":"WowJobs","domain":"wowjobs.biz","url":"https://alion.io/company/wowjobs-2","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":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_city","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Pune, India","Bengaluru, India","Noida, India","Gurgaon, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":39000,"period":"year","method":"role_seniority_country_cell","sample_n":64},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Neo4j","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-15T08:48:29Z","employer_posted_date":null,"last_verified_at":"2026-10-15T08:48:29Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Role: Neo4j Data Engineer\n\nExperience: 7+ yrs\n\nLocation: Pune, Bangalore, Noida, Gurgaon\n\nWork Mode: Hybrid\n\nRoles and Responsibilities:\n\n- Design, develop, and maintain data engineering solutions using PySpark and Hadoop ecosystems.\n\n- Develop and optimize Neo4j graph database solutions for enterprise-scale applications.\n\n- Write, enhance, and optimize Cypher queries for efficient data ingestion, retrieval, and analysis.\n\n- Build and maintain data pipelines for loading and processing large volumes of data.\n\n- Implement data loading solutions into Neo4j using PySpark Parallel Loader and related integration frameworks.\n\n- Monitor, troubleshoot, and optimize performance of data processing jobs and graph database workloads.\n\n- Collaborate with architects, data scientists, and business stakeholders to understand requirements and deliver technical solutions.\n\n- Ensure data quality, integrity, governance, and security standards are maintained.\n\n- Participate in code reviews, technical design discussions, and best practice implementation.\n\n- Create technical documentation and present solutions to technical and non-technical stakeholders.\n\nRequired Skills:\n\n- 7 - 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