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Software Engineer, Data Foundations

RemoteIndia only
Published
Role
Data Engineering
Experience
Senior
Employment
Full-time
Salary not disclosed
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Open to IN only. Set where you work from to check your eligibility.

No BS summary

Senior data-platform engineer (6+ yrs) fluent in Python, Java, or Scala, with deep expertise in data modeling (dimensional modeling, Data Vault, or One Big Table) and batch/streaming pipelines. Builds the data foundation that powers analytics and AI. Role is remote, but you must be in India.

Core skills

Data modeling

Required skills

Python/Java/Scala

What you'll do

  • Designing and building scalable, fault-tolerant data pipelines that transform raw source data into trusted, well-documented datasets across batch and streaming patterns.
  • Owning data quality and observability end-to-end - implementing monitoring, alerting, testing, and documentation for all pipelines and models.
  • Building and evolving the semantic and metric layer, establishing context and guardrails that let both human analysts and AI agents query data reliably.
  • Architecting well-modeled datasets applying dimensional modeling, Data Vault, or One Big Table principles with sound grain definition and key strategy.
  • Engineering enterprise-scale data solutions leveraging Generative AI frameworks (Codex, Claude Code, Snowflake Cortex) to accelerate development and intelligent analytics.

What they require

  • 6+ years of software engineering experience (or its probabilistic equivalent), with substantial focus on data architecture or system design.
  • Proven ability to architect or design complex data models (grain selection, key strategy, schema design) and scale data platforms in multi-tenant environments.
  • Fluency in Python, Java, or Scala, with solid software engineering fundamentals.
  • Deep expertise in data modeling paradigms: dimensional modeling, Data Vault, or One Big Table.
  • Ability to partner directly with business teams, product leaders, or external clients to translate ambiguous requirements into technical solutions.
  • Experience with batch and streaming pipeline architectures including multi-region replication.

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3.8/ 5

Salary not disclosed