Job Title : AWS Data engineer
Location : PAN India (Hybrid)
Experience : 5–12 Years (STRICTLY)
Employment Type : Permanent
Notice Period : Immediate Joiners / ≤ 30 Days Only
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 PySparkImplement ETL processes to ingest, transform, and load large datasetsCollaborate with data architects and business stakeholders to understand requirements and deliver robust solutionsOptimize data workflows for performance, scalability, and reliability in AWS cloud environmentsEnsure adherence to data quality, governance, and security best practicesMonitor, debug, and troubleshoot data pipeline issues to ensure operational stabilityStay updated with the latest trends in data engineering, cloud platforms, and automationProvide technical guidance and mentorship to junior engineersParticipate in Agile ceremonies and contribute to continuous improvement initiativesMandatory Skills
Strong hands-on experience with AWS Databricks and PySparkPractical experience building data pipelines and ETL workflowsStrong proficiency in SQL (must-have)Experience working with large datasets and distributed processingUnderstanding of cloud architectures and DevOps best practicesFamiliarity with Git, CI / CD, and Agile delivery modelsImportant Note (Please Read Before Applying)