Looking for a hands‑on AWS Technical Lead – Data Engineering with 6 to 10 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, architects, 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.
Job Description:
Min. 6 and max upto 10.

Must Have Skills

'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 pipelines for data platforms
Exposure to containerized workloads (Docker, ECS/EKS where applicable to data workloads)

Collabo

📌 Technical Lead (Pune)
🏢 dentsu
📍 Pune