Software Engineer II (Data Harvesting)

New
India Remote, 1:00 PM – 9:00 PM IST (Monday–Friday)Full-TimeMiddle
Salary not disclosed
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Job Details

Experience
3–5 years of professional experience
Required Skills
AWSBackend DevelopmentDockerPostgreSQLPythonSQLETLData StructuresSeleniumSparkRESTful APIsPlaywright

Requirements

  • 3–5 years of professional experience in backend or data engineering
  • Strong proficiency in Python
  • Experience working with large-scale data ingestion systems
  • Experience building and maintaining data pipelines or backend services
  • Familiarity with web data extraction concepts, such as: APIs, web scraping (Selenium, Playwright, or similar) and handling structured and unstructured data
  • Strong SQL skills (PostgreSQL or similar databases)
  • Experience with Apache Spark or similar data processing frameworks
  • Experience working in a AWS cloud environment
  • Familiarity with Docker or containerization

Responsibilities

  • Contribute to building systems and frameworks that capture web data at scale, including working with structured and unstructured data sources
  • Design and develop data extraction components using tools such as APIs, scraping frameworks, and parsing logic
  • Build and maintain ETL/ELT pipelines using technologies like Apache Spark and cloud platforms (preferably AWS)
  • Write clean, efficient Python code to support data ingestion, transformation, and processing workflows
  • Help improve the reliability and performance of data pipelines through monitoring, debugging, and optimization
  • Work with senior engineers to enhance systems that handle: data quality and normalization, large-scale data ingestion and pipeline scalability
  • Troubleshoot issues related to: data inconsistencies, pipeline failures and source data changes (e.g., website structure updates)
  • Collaborate with product, data, and engineering teams to ensure data is usable and aligned with business needs
  • Contribute to documentation and participate in code reviews to support engineering best practices
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