Data Engineer (1 - 3 years) Job ID: 414169

Blumetra Solutions LLC; Hyderabad; Presencial; INR 800.000 - 1.400.000; Jornada completa

Descripción de la vacante

Blumetra Solutions LLC is seeking a Data Engineer with strong Python and SQL skills, plus a solid understanding of data structures and AI concepts. You will solve problems independently and write clean code without heavy reliance on AI coding assistants.

You will develop and optimize data processing, design complex queries, work with relational databases, and contribute to AI/GenAI use cases where applicable. 1–3 years of data/ software engineering experience and a BS degree are required.

Formación

• Strong Python and SQL skills with solid understanding of data structures.
• Ability to write clean, maintainable code and solve problems independently.
• Proficiency in designing and optimizing data processing pipelines.
• Familiarity with AI/GenAI concepts and applying them to data engineering.

Responsabilidades

• Develop, maintain, and optimize data processing solutions.
• Write clean, efficient Python code for data tasks.
• Design and write complex SQL queries for data extraction 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/GenAI use cases where applicable.
• Troubleshoot data and application-related issues and improve performance.

Conocimientos

Python

SQL

Data structures & algorithms

AI & GenAI

Educación

Bachelor's degree in Computer Science / IT / Engineering

Herramientas

Databricks

Snowflake

Descripción del empleo

We are looking for aData 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