Job Description:
Looking for a hands‑on AWS Lead Data Engineering for a Japanese client with 6 to 8 years of total experience to design and deliver scalable, secure, and high‑performance data platforms on AWS. This role focuses on strong individual contribution with technical ownership, working closely with global teams, leads, and clients to deliver enterprise‑grade data engineering solutions. The position requires deep expertise in AWS data services, SQL, and Python, and the ability to build and optimize reliable data pipelines for analytics and business use cases.
Location: Mumbai, Pune, Bengaluru, Gurgaon
Shift: UK Shift timing (up to 11:00 PM)
Interview: 1 interview round must be face to face (mandatory)
Must Have:
Cloud & Data Engineering (AWS) Strong hands‑on experience with AWS data services, including: Amazon S3, AWS Glue, Athena, Redshift Experience designing cloud‑native data lakes and data warehouse architectures on AWS Deep understanding of batch and streaming data pipelines Experience building scalable,
fault‑tolerant data ingestion and transformation workflows
SQL & Python (Mandatory) Strong SQL expertise Writing complex SQL for transformations, aggregations, performance tuning, and analytics Hands‑on experience handling large‑scale datasets in Redshift / Athena Robust Python programming skills (mandatory) for data engineering use cases
PySpark / Spark‑based processing Building reusable ETL components, utilities, and data pipelines Strong understanding of data modeling, transformations, and performance optimization
Data Processing & Engineering Proven hands‑on experience with distributed processing frameworks such as Spark / PySpark Experience working with structured, semi‑structured, and unstructured data Solid understanding of schema design, partitioning, and query optimization DevOps & Platform Engineering Experience with Infrastructure as Code using Terraform and/or CloudFormation Hands‑on experience building and maintaining CI/CD pipelin
📌 Senior Data Engineer (Amravati)
🏢 AMS
📍 Amravati