{"id":1233744,"url":"https://alion.io/job/symphoni-hr-neo4j-graph-data-migration-engineer-2","title":"Neo4j Graph Data Migration Engineer","company":{"id":3800108,"name":"Symphoni HR","domain":"symphonihr.com","url":"https://alion.io/company/symphoni-hr","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"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":{"min_usd":27000,"max_usd":57000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Neo4j","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-26T02:31:57Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"We are seeking a highly skilled Neo4j Graph Data Migration Engineer to lead the strategic planning, execution, and optimization of migrating large-scale, on-premises Neo4j database platforms to the AWS cloud environment. You will serve as the core technical driver for transitioning complex graph datasets and enterprise knowledge graphs while ensuring minimal downtime, data integrity, and high performance.\nOur client is a leading global computer software organization known for delivering innovative data-driven solutions. They operate at a significant scale, supporting complex enterprise architectures and fostering a culture of technical excellence and continuous improvement.\nResponsibilities\nLead the migration of complex graph database workloads from on-premises environments to AWS.\nDesign and execute comprehensive data migration blueprints and bulk data transfer pipelines.\nOptimize Cypher queries for native cloud graph environments to ensure maximum performance.\nIdentify and mitigate migration risks, edge-case failures, and schema disparities during cutover phases.\nValidate post-migration data integrity, ensuring complex relationship structures and pointers remain intact.\nMaintain and streamline ETL pipelines to synchronize data between legacy systems and new cloud instances.\nTroubleshoot post-migration bottlenecks related to memory allocation and disk I/O performance.\nEstablish robust security postures for graph data within the cloud architecture.\nRequirements\n7-12 years of professional data engineering experience.\nMinimum 3 years of hands-on experience with Neo4j graph databases and AWS cloud environments.\nAdvanced proficiency in writing and optimizing production-grade Cypher queries.\nStrong experience with AWS Glue, Amazon S3, AWS Lambda, and Amazon Athena.\nExpertise in big data compute using Amazon EMR, Apache Spark, PySpark, Hive, and Hadoop.\nStrong scripting skills in Python.\nAWS Certified Data Engineer or AWS Certified Solutions Architect certification is highly preferred.\nProven ability to manage large-scale data migrations with minimal production impact.","description_format":"text","description_chars":2099,"description_truncated":false,"requirements":{"experience_years_min":7,"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":[],"lifecycle":[{"event":"open","at":"2026-09-25T15:42:28Z"}],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":2,"expected_fill_days":47,"reasons":["conf:0","agency","win:early","comp:brand"],"computed_at":"2026-09-26T02:42:10Z"},"pay":null,"html_url":"https://alion.io/job/symphoni-hr-neo4j-graph-data-migration-engineer-2","json_url":"https://alion.io/job/symphoni-hr-neo4j-graph-data-migration-engineer-2.json","meta":{"generated_at":"2026-09-26T02:42:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2845,"day_limit":5000,"remaining_today":2155,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}