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

Data Engineer (1 - 3 years)

Start with your email