Senior Data Engineer, Internal Data Platform & Analytics

Hiring

Glean

Bangalore · IndiaFull-time· 6d ago

Experience

7–10 yrs

Work Type

Full-time

Domain

Internal data platform, Analytics engineering

Core SkillsMust Have

Data engineeringSQLPythonBigQueryDBTParquetHudiIcebergColumnar file systemsDimensional modelingData contractsData lineageData quality practicesAPI designBatch pipelinesEvent-driven ingestionData transformation frameworks

What You'll Do

1Build and maintain reliable batch and API-based data ingestion pipelines

2Improve data quality through testing, CI checks, ownership metadata, and clear layer boundaries

3Operate and improve BigQuery data infrastructure with an emphasis on performance and cost efficiency

4Implement data access controls, governance workflows, and safe self-serve access patterns

5Improve pipeline observability, failure classification, incident triage, and recovery processes

6Partner with Data Science, Business Intelligence, Finance, Sales Operations, Marketing, Security, Reliability Engineering and other internal teams to deliver reusable platform capabilities

7Participate in design reviews, code reviews, documentation, and operational support for the data platform

8Maintain productive collaboration between IST and US PST time zones

Nice to HaveOptional

BigQuery governanceIAM/RBACPolicy tagsData maskingStreaming systemsCost controlsReusable data platform frameworksSemantic layersMetric storesData observabilityOrchestrationCI/CDInfrastructure-as-code

Domain

Internal data platformAnalytics engineering

Industry

Fast-growing companies

StartupPrior startup experience preferred