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Happiest Minds Technologies - Lead Data Engineer - Medallion Architecture

Happiest Minds TechnologiesMumbai, Bangalore, Chennai
Full-timeLead
👁️ 4 views📝 0 applicationsPosted 8/18/2026Expires 9/17/2026

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Job Description

Role Overview : Engineering lead who owns design & delivery end-to-end; raises bar on performance, DataOps, and governance; mentors C3s. Core Responsibilities : - Design high-throughput batch & streaming (Structured Streaming/Autoloader) to Medallion targets. - Implement advanced Delta : MERGE/SCD2, schema evolution/enforcement, OPTIMIZE/Z-ORDER/VACUUM, compaction. - Engineer observability : metrics, alerts, SLIs/SLOs, error budgets; on-call runbooks. - Implement Unity Catalog patterns (RBAC/ABAC), row/column-level security; Key Vault integration; PII/PHI handling. - Own cost & performance : Photon, autoscaling, cluster policies/pools; job SLAs. - Lead CI/CD (Repos/CLI/ADO) with automated unit/data tests and promotion gates; design reviews and reusable frameworks. Must-have Skills (Screening Focus) : - Deep PySpark/Spark SQL/Delta; DLT + Workflows orchestration. - MERGE/SCD2; schema evolution/enforcement; time travel. - Performance/cost levers : OPTIMIZE/Z-ORDER, file sizing, Photon, autoscaling; cluster policies/pools. - Unity Catalog RBAC/ABAC; secrets; PII/PHI controls. - CI/CD with tests (unit/data expectations) and environment promotion; on-call readiness. Nice-to-have (Prefer, not Mandatory) : - Kafka/Event Hubs streaming patterns; Synapse integration. - Delta Sharing, Lakehouse Federation; dbt for transformations. 90-day Outcomes (Examples) : - Reduce a priority jobs runtime 25% and cost/GB 20% within 90 days. - Stand up CI/CD + tests + SLOs for one DLT pipeline with alerting; publish a reusable SCD2/DQ module.

Required Skills

CI/CDKafkaSparkSQL

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