Senior Data Scientist & Data Engineer

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 3 months ago
0-1 years
Bengaluru / Bangalore, Karnataka
work from office

Posted: 3 months ago
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Applicants: 150+
Job Description
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Job Description

Job Requirements
Key Responsibilities
AI & Machine Learning Development
  • Design, build, and deploy AI/ML models for classification, prediction, NLP, computer vision, and generative AI use cases.
  • Fine-tune, optimize, and implement Large Language Models (LLMs) such as GPT, Llama, Falcon, or domain-specific models.
  • Develop AI agents, Retrieval-Augmented Generation (RAG) systems, and automation workflows.
Data Engineering & ETL Development
  • Design, build, and optimize scalable ETL workflows using Informatica, SnapLogic, and AWS Glue.
  • Develop and maintain robust data pipelines for ingestion, transformation, and loading into data warehouses.
  • Manage and monitor data warehouse clusters and AWS EMR to ensure high availability, performance, and security.
  • Write and optimize complex SQL queries for data extraction, transformation, and reporting.
  • Implement data quality checks, validation frameworks, and data governance best practices.
Collaboration & Operations
  • Work closely with data architects, analysts, and business stakeholders to understand requirements and deliver scalable solutions.
  • Automate workflows and operational processes using Python for improved efficiency.
  • Troubleshoot and resolve data-related issues in production environments.
  • Ensure compliance with organizational data security standards and industry best practices
Work Experience
Required Skills & Expertise
AI/ML & Advanced Analytics
  • Experience with cloud AI services on Azure, AWS, or GCP.
  • Familiarity with MLOps tools such as MLflow, Kubeflow, Docker, CI/CD pipelines.
  • Understanding of RAG systems, embeddings, prompt engineering, and LLM evaluation.
  • Exposure to GPU computing, distributed training, or ONNX optimization.
  • Experience with computer vision, reinforcement learning, or multimodal AI models.
Data Engineering & Cloud Technologies
  • Strong SQL expertise (query optimization, stored procedures, performance tuning).
  • Looking to get Placed? Try our Placement Guarantee Plan

  • Hands-on experience with Informatica for ETL development.
  • Proficiency with SnapLogic for integration and data flow automation.
  • Experience with AWS Glue (serverless ETL) and AWS EMR for large-scale data processing.
  • Experience with data warehouse platforms such as Snowflake, Redshift, BigQuery, or similar.
  • Strong programming skills in Python for scripting, automation, and data processing.
  • Understanding of data modeling, data governance, and data quality frameworks.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and modern data services.
Additional Skills
  • Excellent problem-solving abilities and analytical thinking.
  • Strong communication skills with the ability to work in a global, cross-functional environment.
Preferred Qualifications
  • Bachelors degree in Computer Science, Information Technology, or equivalent discipline.

Skills

Advanced AnalyticsPythonData GovernanceData ModelingEtlData ExtractionData ProcessingMachine LearningSnowflakeAi/mlPrompt EngineeringLarge Language ModelsAnalyticsAiMlSqlData ScientistData Engineer

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About Company

For more than 20 years, QuEST is a trusted global engineering services and solutions partner to many of the world's most recognized Fortune 500 companies in Aero Engines, Aerospace & Defense, Automotive, Medical Devices, Oil & Gas, Power, Industrial, Rail, Semiconductor, Consumer Electronics and Software & Internet. With global presence in 13 countries, 65 locations and 12000+ employees, QuEST is at the forefront of the convergence of Mechanical, Electronics, Software and Digital Services to engineer solutions for a safer, cleaner world. QuEST’s deep domain knowledge and digital expertise accelerate product development and innovation cycles, create alternate revenue streams, enhance consumer experience and make manufacturing processes and operations more efficient.

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Important dates & deadlines?

Application Deadline

24 Apr 26, 03:59 PM IST

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