Referso Jobs

Data Engineer Lead - WebOps - Web Analytics

Google Operations Center · Posted Oct 28, 2026

Open

12+ years

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Data Engineer Lead - WebOps - Web Analytics

Google Operations Center · Posted Oct 28, 2026

Open

12+ years

Apply with RefersoAI Apply on careers page

Senior Staff Software Engineer, Data Platform

Albert Invent · Posted Nov 5, 2026

Open

Bangalore, Karnataka, India
Staff
14+ years

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Own the design and evolution of the data infrastructure that powers Albert OS, sitting upstream of AI and Product Engineering teams to define the data platform.

Responsibilities

Own the architecture and evolution of our core data platform, spanning lakehouse infrastructure, analytical pipelines, and transactional systems.
Design and build scalable data ingestion and transformation pipelines (batch and streaming) with a strong emphasis on data quality, reliability, and downstream usability.
Define and enforce data contracts, the interfaces that AI and Product Engineering teams consume, ensuring clean, structured, and trusted data surfaces across the stack.
Define data modeling standards across our stack, including dimensional, medallion, and schema-first patterns.
Drive performance optimization across SQL and NoSQL systems, with a focus on query efficiency, partitioning strategies, and throughput at scale.

Requirements

Nice to have: DynamoDB
Nice to have: PostgreSQL
Nice to have: Databricks Agent Bricks
Nice to have: agentic data pipeline patterns

Skills

Data engineering Large-scale distributed systems Databricks

Staff Engineer, Data Platform

Albert Invent · Posted Nov 4, 2026

Open

Bangalore, India
Full-time · Senior
8+ years

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Lead the design and evolution of the data infrastructure powering Albert OS, focusing on data architecture, scalability, and reliability across analytical and transactional systems.

Responsibilities

Own the architecture and evolution of core data platforms spanning Lakehouse infrastructure, analytical pipelines, and transactional systems
Design and build scalable data ingestion and transformation pipelines (batch and streaming) with emphasis on data quality, reliability, and downstream usability
Define data modeling standards across the stack, including dimensional, medallion, and schema-first patterns
Drive performance optimization across SQL and NoSQL systems, focusing on query efficiency, partitioning strategies, and throughput at scale
Collaborate closely with API and Data Science teams to build robust pipelines and shared data contracts

Skills

Databricks lakehouse architecture patterns OLAP systems star schema galaxy schema data models transactional systems design

OLAP systems jobs

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