Data & AI Engineer | Blend | Apply now

Experience: 1–3 Years
Location: Bangalore, India
Employment Type: Full-Time

About the Role

We are seeking a forward-thinking Data & AI Engineer with 1–3 years of experience in data engineering who is passionate about leveraging modern AI tools to accelerate development workflows. This role blends traditional data engineering practices with AI-augmented software development, enabling the creation of high-performance pipelines and smarter, faster solutions.

Job Description :-

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Python, SQL, and PySpark.
• Work with on-premise big data platforms including Spark, Hadoop, Hive, and HDFS.
• Optimize and troubleshoot data workflows for performance, reliability, and quality.
• Use AI tools (e.g., GitHub Copilot, ChatGPT, Windsurf, Cursor) for code generation, debugging, testing, and documentation.
• Collaborate with data scientists, analysts, and engineers to enable data-driven initiatives.
• Maintain comprehensive technical documentation with AI-assisted summarization tools.
• Apply AI-augmented software engineering practices such as automated testing, intelligent code reviews, and CI/CD.
• Identify opportunities for automation and process improvements across the data lifecycle.

Qualifications

• 1–3 years of hands-on experience as a Data Engineer or similar role.
• Proficiency in Python for data manipulation, automation, and scripting.
• Strong knowledge of SQL and relational database design.
• Experience with PySpark for distributed data processing.
• Familiarity with Hadoop ecosystem (Hive, HDFS, Spark).
• Practical experience using AI-assisted development tools, such as:
  • GitHub Copilot, Windsurf, Cursor – for intelligent code assistance
  • ChatGPT or similar – for refactoring, testing support, documentation
  • AI-based testing frameworks or custom automation scripts
• Familiarity with Git and CI/CD pipelines.
• Strong analytical skills and a mindset for automation and innovation.

Preferred Qualifications (Nice to Have)

• Experience with cloud platforms (AWS, Azure, GCP).
• Exposure to containerization & orchestration (Docker, Kubernetes).
• Knowledge of modern data architectures (Data Lakehouse, Delta Lake, Iceberg).
• Familiarity with real-time data processing (Kafka, Flink, Spark Streaming).

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Why Join Us?

• Work at the intersection of Data Engineering and AI-augmented Development.
• Be part of a team that values automation, innovation, and continuous learning.
• Access to cutting-edge AI tools to accelerate your productivity.
• Collaborative work culture with opportunities to grow as a Data + AI practitioner.