YMinds.AI
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1 to 50 Employees · Bengaluru, India
Hiring: Engineering
What employees say
+ nothing as such young team a lot to learn
− no maintaining code false ai hype
More reviews on the company profile.
Interview experience · Python Backend Developer
Terrible intervew proess, they have an AI that takes the interview. First Round: It was fine, the AI bot asked some basic questions and itwas fine Second Round: It was supposed to be a 60 mins coding round by the AI,
Average difficulty · India · 3 reports
More interview insightsJob description
Overview
Our client is seeking a Data Engineer with 4–8 years of experience in designing and developing scalable data solutions.
Responsibilities
- Design, develop, and maintain scalable data pipelines and data-processing workflows.
- Build data engineering solutions using Python, PySpark, and SQL.
- Develop and optimize SQL scripts for data transformation, validation, and analysis.
- Process and manage large volumes of structured and unstructured data.
- Design and implement cloud-based data solutions, preferably on AWS.
- Integrate data pipelines with Generative AI and LLM-based applications.
- Ensure data quality, reliability, performance, and scalability across data workflows.
- Troubleshoot data pipeline issues and optimize processing performance.
- Collaborate with AI, engineering, product, and business teams to understand data requirements.
- Document data pipelines, technical designs, and operational processes.
Qualifications
- 4–8 years of hands-on experience in Data Engineering.
- Strong hands-on experience with Python and PySpark.
- Strong knowledge and practical experience in SQL scripting.
- Solid understanding and hands-on experience with core data engineering concepts.
- Exposure with Generative AI and Large Language Models (LLMs) is a plus.
- Strong hands-on experience with a cloud platform, preferably AWS.
- Excellent communication, collaboration, and interpersonal skills
- Familiarity with data modelling, governance, security, and quality practices.
- Exposure to RAG pipelines, vector databases, embeddings, or AI agents.
- About YMinds.AI
- YMinds.AI is a technology-focused talent solutions company helping organizations hire exceptional professionals across Engineering, AI/ML, Data, Cloud, Product, and Business functions.
- Data Engineer, AI Data Engineer, Python, PySpark, SQL, SQL Scripting, AWS, Cloud Data Engineering, Data Pipelines, ETL, ELT, Big Data, Distributed Data Processing, Generative AI, Large Language Models, LLM, RAG, Vector Databases, Data Warehousing, Data Lakes, Agile, Waterfall
- #DataEngineer #AIDataEngineer #DataEngineering #Python #PySpark #SQL #AWS #CloudComputing #GenerativeAI #LLM #BigData #DataPipelines #ETL #Hiring #TechJobs #YMindsAI
Nice to have
- Exposure to AWS data services such as S3, Glue, EMR, Redshift, Lambda, or Athena.
- Knowledge of data lakes, data warehouses, and distributed data-processing architectures.
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