Data Engineer (1 - 3 years)

We are looking for a Data Engineer with strong programming fundamentals, excellent SQL skills, a solid understanding of data structures, and awareness of modern AI/GenAI concepts.

The ideal candidate should be comfortable solving problems independently and writing code without relying heavily on AI coding assistants.

Key Responsibilities

• Develop, maintain, and optimize data processing solutions.
• Write clean, efficient, and maintainable Python code.
• Design and write complex SQL queries for data extraction, transformation, and analysis.
• Work with relational databases and understand database programming concepts.
• Apply data structures and algorithms to solve technical problems efficiently.
• Participate in designing scalable and reliable data solutions.
• Collaborate with engineering and business teams to understand data requirements.
• Explore and contribute to AI and Generative AI-based use cases where applicable.
• Troubleshoot data and application-related issues and improve overall performance.
  
  

Required SkillsPython

• Good understanding of Python programming fundamentals.
• Ability to write simple to moderately complex programs independently.
• Should be able to solve coding problems without depending on AI assistants or external coding tools.
• Understanding of functions, loops, conditions, collections, exception handling, and object-oriented programming concepts.
  
  

SQL

• Very strong SQL skills.
• Good understanding of:
• Joins
• Subqueries
• Aggregations
• Triggers
• Stored Procedures
• Top-N Analysis
• Window Functions
• Query optimization concepts
• Ability to independently write and troubleshoot SQL queries.
  

Data Structures & Algorithms

• Strong understanding of common data structures such as Arrays, Lists, Stacks, Queues, Hash Maps, Trees, and Graphs.
• Ability to write algorithms or implementations for commonly used data structures.
• Good understanding of problem-solving, time complexity, and basic algorithmic concepts.
  
  

AI & Generative AI

• Good understanding of Artificial Intelligence and Generative AI concepts.
• Familiarity with LLMs, AI-assisted development, prompt engineering, and common GenAI use cases.
• Interest in applying AI/GenAI capabilities to data engineering and enterprise solutions.
  
  

Preferred Skills

• Exposure to or hands-on experience with Databricks and/or Snowflake is preferred.
• Familiarity with modern data platforms, cloud-based data engineering, and large-scale data processing would be an added advantage.
• Understanding of ETL/ELT concepts and data pipelines is desirable.
  
  

Qualifications

• 1–3 years of relevant experience in Data Engineering, Software Engineering, or a similar technical role.
• Bachelor's degree in Computer Science, IT, Engineering, or a related discipline.
• Strong analytical and problem-solving abilities.
• Good communication and collaboration skills.
• Ability to learn new technologies quickly and work in a fast-paced environment.
  
  

What We Are Looking For

We are particularly looking for candidates with strong fundamentals rather than tool-dependent knowledge. Candidates should be comfortable demonstrating their Python, SQL, data structures, and problem-solving skills independently during the interview process.

Experience with Databricks or Snowflake is preferred but not mandatory.

Interview Process

Hackathon Challenge + 2 Technical Rounds

Skills: data engineering,sql,data,python