Senior Data Engineer

3 days ago

Bengaluru, Karnataka, India MontyCloud Full time US$ 1,25,000 - US$ 1,75,000 per year

Role Overview:

As a Senior Data Engineer, you will play a key role in designing, building, and operating data pipelines and systems that enable both traditional analytics and AI/ML-driven products. You will work hands-on with modern tools and frameworks that form the backbone of the AI data stack.

Key Responsibilities:

  • Design, implement, and maintain high-quality data pipelines and ETL/ELT workflows, supporting both batch and streaming use cases.
  • Build and maintain scalable data models and schemas to support analytics, AI/ML feature engineering, and knowledge management.
  • Develop and maintain secure connectors and data onboarding pipelines for customer-provided data streams.
  • Contribute to frameworks for contextualizing data and reconstructing event timelines to support intelligent automation and analytics.
  • Collaborate with data scientists, ML engineers, and platform teams to operationalize data for AI/ML use cases.
  • Leverage modern data engineering tools (e.g., dbt, Airflow, Kafka, Spark) and experiment with new components from the AI data stack (e.g., feature stores, vector DBs).
  • Apply best practices in data quality, governance, and security for multi-tenant, cloud-native environments.
  • Contribute to code reviews, technical documentation, and mentorship within the team.

Desired Skills

Must Have

  • Hands-on experience with cloud-based data engineering (AWS preferred), including data lakes, warehouses, and streaming technologies.
  • Strong programming skills (Python, Scala, or Java) and practical experience with modern data frameworks (Spark, Kafka, Airflow, dbt).
  • Exposure to operationalizing data for AI/ML, including data preparation, feature engineering, or ML pipeline integration.
  • Familiarity with at least some components of the modern AI data stack (feature stores, vector DBs, ML ops tools, etc.).
  • Exposure to open table formats such as Apache Iceberg, Delta Lake, or Hudi in cloud data lake/lakehouse environments.
  • Familiarity with data privacy standards (e.g., GDPR) and experience supporting data anonymization in production environments.
  • Experience with data governance, security, and compliance in cloud environments.

Good to Have

  • Experience with metadata-driven or semantic data systems.
  • Prior work in SaaS, multi-tenant, or multi-cloud environments.
  • Supporting internal and external consumers with data-driven and AI-enabled solutions.

Experience

  • 6+ years of experience in data engineering or related roles.

Education

  • Bachelor's or master's degree in computer science, Engineering, or related field (preferred).

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