Role & responsibilities
Design and operate batch and streaming data pipelines (ETL/ELT) at production scale.
Build and maintain training-ready datasets for ML/AI feature pipelines, labeling workflows, and data quality for model training.
Own the data warehouse/lakehouse stack (e.g., Snowflake, BigQuery, Databricks, Spark) and transformations (dbt).
Orchestrate workflows (Airflow or equivalent) with solid monitoring and lineage.
Preferred candidate profile
Experiencing of building pipelines that feed data into AI/ML systems
Exposure of working within SaaS setting.
Hands on experience in preparing data for model.
📌 Data Engineer Bengaluru
🏢 Drishti Consultants
📍 Bengaluru
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