Aws Databricks EngineerPeople Prime Worldwide • Jhārkhand, Republic Of India, IN
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Aws Databricks Engineer
People Prime Worldwide • Jhārkhand, Republic Of India, IN
1 day ago
Job descriptionDesign, 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 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 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.) 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 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
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.
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Aws Engineer • Jhārkhand, Republic Of India, IN
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