Data Engineer

Scoutit
Bengaluru, Karnataka, India

We're looking for Data Engineers!

Responsibilities:

  • Own data solutions from requirements and architecture through deployment, operation and continuous improvement.
  • Build scalable ingestion, transformation and processing pipelines for standards and strategic datasets.
  • Transform complex information into structured, reliable and AI-ready data assets.
  • Develop AI/LLM-assisted data processing, semantic ingestion and retrieval capabilities.
  • Strengthen metadata, data quality, lineage, freshness, observability and reliability.
  • Develop and operate solutions using Python, Kubernetes, Spark, PostgreSQL, Elasticsearch and Microsoft Fabric.
  • Enable AI, LLM and agentic applications through high-quality data and knowledge services.
  • Provide technical guidance and knowledge sharing while remaining hands-on in solution delivery.
  • Be a team player and work across teams.

Skills Required:

  • Proficiency in production-grade data and software engineering.
  • Strong Python skills and experience designing automated data pipelines.
  • Familiarity with distributed data processing, data modelling, metadata and data quality.
  • Familiarity with PostgreSQL, Elasticsearch or comparable data and search technologies.
  • Cloud-native engineering, Kubernetes and container experience.
  • Knowledge of CI/CD, monitoring and production operations.
  • Ability to translate complex or ambiguous requirements into scalable technical solutions.
  • Strong ownership, collaboration and communication skills, with the ability to guide other engineers while remaining hands-on.

(Note: Relevant applicants will receive an email requesting additional information as part of the next stage. The application process will be completed directly on the team's designated platform, and all subsequent communication and decisions regarding the opportunity are managed by the respective hiring team.)

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Is this Data Engineer job remote or onsite?

This is based in Bengaluru, Karnataka.

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