Responsibilities
Design and maintain real-time and batch data pipelines.
Build scalable data ingestion, transformation, and processing frameworks.
Ensure data reliability, availability, and performance.
Develop APIs and data models for analytics and ML applications.
Optimise ETL workflows, queries, and storage systems.
Requirements
Experience in data engineering or large-scale data systems.
Robust Python skills; Java/Scala is a plus.
Experience with Kafka, Spark Streaming, or Flink.
Robust knowledge of data modelling, distributed systems, and APIs.
Experience with web scraping tools such as Scrapy, Selenium, or Playwright.
Experience optimising ETL pipelines and handling large datasets.
📌 Senior Data Engineer Bengaluru (India)
🏢 Talentstream
📍 India
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