{"id":4085494,"url":"https://alion.io/job/applied-retention-founding-data-engineer","title":"Founding Data Engineer","company":{"id":19453,"name":"Applied Retention","domain":"appliedretention.com","url":"https://alion.io/company/applied-retention","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":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Mumbai, 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isolation to ensure reliability and prevent cross-tenant performance issues.\nDesign and maintain data backfill and replay mechanisms to support data recovery and reprocessing.\nMaintain append-only, auditable records to ensure automated decisions are traceable and reconstructable.\nBuild and manage resilient vendor API integrations using circuit breakers, retry mechanisms, and reconciliation processes.\nImplement and maintain operational infrastructure, including alerting, data partitioning, and idempotent job processing.\n\nRequirements: \nAround 4-7 years of experience building and operating production systems, with strong expertise in PostgreSQL, including schema design, query optimisation, and large-scale batch processing.\nHands-on experience owning production data pipelines, including data ingestion, transformation, reconciliation, and serving.\nStrong proficiency in SQL, including multi-step transformations, window functions, statistical aggregates, and incremental computation.\nExperience transforming raw event or order data into cohort, retention, and funnel metrics.\nProduction-level experience with Python backend development, with the ability to maintain clean separation between business logic and framework-specific components.\nStrong understanding of test-driven development, particularly for batch processing jobs and data reconciliation workflows.\nExperience troubleshooting production issues involving queue backlogs, webhook failures, and data reconciliation.\nStrong written communication skills and experience working in documentation-driven environments.\nAbility to independently manage deliverables, make technical decisions, and take ownership of outcomes with minimal supervision.\n\nNice to Have: \nHands-on experience with Django in production environments.\nExperience working with e-commerce platforms.\nFamiliarity with streaming and event-driven architectures, including Kafka or similar technologies.\nKnowledge of probabilistic and approximate data structures such as HyperLogLog, Bloom Filters, and t-digest.\nExperience developing server-rendered web applications.\nSkills\nPostgreSQL, Postgres, Python, SQL, dbt","description_format":"text","description_chars":2430,"description_truncated":false,"requirements":{"experience_years_min":2,"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":["Marketing Automation","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-11-11T18:35:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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