Aws Databricks Engineer

10 hours ago

Nashik, India People Prime Worldwide Full time

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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