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 robust 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) (Hyderabad)
🏢 Blumetra
📍 Hyderabad