Data Engineer

2 days ago

Gurugram, India MASIN Full time

Roles and Responsibilities

  • Build and maintain scalable, fault-tolerant
    data pipelines
    to support GenAI and analytics workloads across OCR, documents, and case data.
  • Manage ingestion and transformation of semi-structured legal documents (PDF, Word, Excel) into structured formats.
  • Enable
    RAG workflows
    by processing data into chunked, vectorized formats with metadata.
  • Handle large-scale ingestion from multiple sources into
    cloud-native data lakes
    (S3, GCS),
    data warehouses
    (BigQuery, Snowflake), and PostgreSQL.
  • Automate pipelines using orchestration tools like
    Airflow/Prefect
    , including retry logic, alerting, and metadata tracking.
  • Collaborate with ML Engineers to ensure data availability, traceability, and performance for inference and training pipelines.
  • Implement data validation and testing frameworks using
    Great Expectations
    or
    dbt
    .
  • Integrate OCR pipelines and post-processing outputs for embedding and document search.
  • Design infrastructure for
    streaming vs batch
    data needs and optimize for cost, latency, and reliability.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or equivalent.
  • 3+ years of experience in building distributed data pipelines and managing multi-source ingestion.
  • Proficiency with
    Python
    ,
    SQL
    , and data tools like Pandas, PySpark.
  • Experience working with data orchestration tools (Airflow, Prefect), and file formats like Parquet, Avro, JSON.
  • Hands-on experience with cloud storage/data warehouse systems (S3, GCS, BigQuery, Redshift).
  • Understanding of GenAI and vector database ingestion pipelines is a strong plus.
  • Bonus: Experience with OCR tools (Tesseract, Google Document AI), PDF parsing libraries (PyMuPDF), and API-based document processors.

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