Job Title:
AWS Data Engineer - Bengaluru - Immediate Joiner
Company: UST
Location: Bengaluru, Karnataka
Created: 2026-01-26
Job Type: Full Time
Job Description:
Candidates ready to join immediately can share their details via email for quick processing.CCTC | ECTC | Notice Period | Location Preferencenitin.patil@Act fast for immediate attention! ⏳Key Responsibilities- Design, develop, and deploy scalable AWS-based data solutions aligned with client business objectives - Architect and maintain data lakes and data warehouses using AWS services such as S3, Redshift, EMR, Glue, Lambda, and Kinesis - Build and optimize ETL / ELT pipelines for batch and real-time data ingestion - Develop event-driven and streaming data pipelines to support analytics and AI/ML workloads - Collaborate with consultants, data scientists, BI engineers, and client stakeholders - Ensure compliance with data governance, security, and privacy standards - Implement DevOps and CI/CD best practices for data pipelines and infrastructure - Continuously evaluate AWS innovations to improve platform performance and capabilitiesMust-Have Skills- Strong experience as an AWS Data Engineer delivering enterprise-scale solutions - Hands-on expertise with AWS services: - S3, Lambda, Kinesis, Redshift, EMR, Glue, SQS - Proficiency in Python for data processing and pipeline development - Solid experience with distributed data frameworks: - Apache Spark - Apache Hive - Experience building ETL/ELT pipelines for structured and unstructured data - Strong understanding of data modeling for analytics and reporting - Experience with real-time / streaming data pipelines (Kafka, Kinesis) - Familiarity with data governance, security, and compliance best practicesGood-to-Have Skills- Experience with Apache Airflow, AWS Step Functions, or similar orchestration tools - Hands-on knowledge of CI/CD pipelines and DevOps practices - Experience with Infrastructure as Code (IaC): - Terraform - AWS CloudFormation - Exposure to AI/ML data pipelines and analytics workloads - Strong SQL skills for analytics and data validation - Experience working in consulting or client-facing environments - AWS Certifications (e.g., AWS Certified Data Analytics – Specialty, AWS Solutions Architect)-