Job Description
Job Description
Key Responsibilities :
Data Pipeline Development: Build and optimize ETL/ELT workflows using Airflow, Prefect, or similar orchestration tools. Data Integration & Transformation: Ingest data from multiple sources (transactional, behavioural, streaming) and prepare feature-ready datasets. Application Integration: Connect pipelines to Salesforce, Gainsight, and other enterprise applications for real-time data sync. BI Semantic Modelling: Design and maintain semantic layers for BI tools (Power BI, Looker, Tableau) to enable self-service analytics. Version Control & Experiment Tracking: Implement DVC for dataset versioning and integrate MLflow for experiment reproducibility. Distributed Data Processing: Use Spark, Ray, or Databricks for large-scale data transformations and feature engineering. Cloud Infrastructure: Deploy and manage pipelines on Azure Data Factory, ...
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