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Aws Databricks Engineer
Aws Databricks EngineerPeople Prime Worldwide • Jhārkhand, Republic Of India, IN
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Aws Databricks Engineer

Aws Databricks Engineer

People Prime Worldwide • Jhārkhand, Republic Of India, IN
3 days ago
Job description

Job Title : AWS Data engineer

Location : PAN India (Hybrid)

Experience : 5–12 Years (STRICTLY)

Employment Type : Permanent

Notice Period : Immediate Joiners

CTC :

  • [5–8 yrs] – Up to 21 LPA
  • [8–12 yrs] – Up to 26 LPA

About the Company

Our client is a global leader in digital transformation and IT services across 50+ countries. They specialize in cloud modernization, data engineering, consulting, managed services, and enterprise-grade digital solutions. Their focus is on enabling businesses to scale efficiently and move confidently into a data-driven future.

Job Description

  • Design, develop, and maintain scalable data pipelines using AWS Databricks and PySpark
  • Implement ETL processes to ingest, transform, and load large datasets
  • Collaborate with data architects and business stakeholders to understand requirements and deliver robust solutions
  • Optimize data workflows for performance, scalability, and reliability in AWS cloud environments
  • Ensure adherence to data quality, governance, and security best practices
  • Monitor, debug, and troubleshoot data pipeline issues to ensure operational stability
  • Stay updated with the latest trends in data engineering, cloud platforms, and automation
  • Provide technical guidance and mentorship to junior engineers
  • Participate in Agile ceremonies and contribute to continuous improvement initiatives
  • Mandatory Skills

  • Strong hands-on experience with AWS Databricks and PySpark
  • Practical experience building data pipelines and ETL workflows
  • Strong proficiency in SQL (must-have)
  • Experience working with large datasets and distributed processing
  • Understanding of cloud architectures and DevOps best practices
  • Familiarity with Git, CI / CD, and Agile delivery models
  • Important Note (Please Read Before Applying)

    🚫 Do NOT apply if :

  • You have less than 5 years or more than 12 years of total experience
  • You do NOT have real-time experience in AWS Databricks + PySpark
  • You do not have strong SQL skills
  • Your notice period is more than 30 days
  • You are looking for remote-only (role involves hybrid work mode)
  • You are from unrelated backgrounds (testing-support only, non-data engineering roles, etc.)
  • ✅ Apply ONLY if you meet ALL the above criteria. Irrelevant applications will not be processed.

  • Seniority Level
  • Mid-Senior level
  • Industry
  • IT Services and IT Consulting
  • Employment Type
  • Full-time
  • Job Functions
  • Information Technology
  • Skills
  • SQL
  • Amazon Web Services (AWS)
  • Extract, Transform, Load (ETL)
  • Engineering
  • Git
  • Data Engineering
  • Cloud Computing
  • Software Development
  • HTML
  • Test Automation
  • Screening questions

    Required qualifications

  • How many total years of hands-on experience do you have in Data Engineering? (Must be between 5–12 years)
  • Ideal Answer : Yes
  • Do you have real-time project experience with AWS Databricks and PySpark? Yes / No
  • Ideal Answer : Yes
  • Are you confident with writing complex SQL queries and working with large datasets? Yes / No
  • Ideal Answer : Yes
  • Have you independently developed or contributed to data pipelines using Databricks + AWS? Yes / No
  • Ideal Answer : Yes
  • Are you comfortable working in a Hybrid model across PAN India locations? Yes / No
  • Ideal Answer : Yes
  • What is your current notice period? (Only Immediate / ≤ 30 days acceptable)
  • Ideal Answer : Yes
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    Aws Engineer • Jhārkhand, Republic Of India, IN

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