Data Engineer

2 weeks ago

Bengaluru, Karnataka, India Applore Technologies Full time ₹ 6,00,000 - ₹ 18,00,000 per year

We are looking for a forward-thinking Data & AI Engineer with 1– 6 years of experience in data engineering and a passion for using modern AI tools to accelerate development workflows. The ideal candidate is proficient in Python, SQL, PySpark, and has experience working in on-premise big data environments (e.g., Spark, Hadoop, Hive, HDFS). This role is ideal for someone eager to blend traditional data engineering practices with AI-augmented software development, helping us build high-performance pipelines and deliver faster, smarter solutions.

What you'll be doing :

  • Develop and maintain robust ETL/ELT pipelines using Python, SQL, and PySpark.
  • Work with on-premise big data platforms such as Spark, Hadoop, Hive, and HDFS.
  • Optimize and troubleshoot workflows to ensure performance, reliability, and quality.
  • Use AI tools to assist with code generation, testing, debugging, and documentation.
  • Collaborate with data scientists, analysts, and engineers to support data-driven use cases.
  • Maintain up-to-date documentation using AI summarization tools.
  • Apply AI-augmented software engineering practices, including automated testing, code reviews, and CI/CD.
  • Identify opportunities for automation and process improvement across the data lifecycle.

Qualifications :

  • 1–6 years of hands-on experience as a Data Engineer or in a similar data-focused engineering role.
  • Proficiency in Python for data manipulation, automation, and scripting.
  • Solid understanding of SQL and relational database design.
  • Experience building distributed data processing solutions with PySpark.
  • Familiarity with on-premise big data ecosystems, including Hadoop, Hive, HDFS.
  • Active use of AI development tools, such as:
  • GitHub Copilot, Windsurf, Cursor – for intelligent code assistance
  • ChatGPT or similar – for testing support, refactoring, and documentation
  • AI-based testing frameworks or custom scripts
  • Familiar with Git and CI/CD pipelines.
  • Strong analytical skills and a mindset for automation and innovation.

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