Looking for a hands‑on Senior Data Engineer – AWS with experience to development, build, and maintain scalable, secure, and high‑performance data platforms on AWS.
This is an individual contributor role focused on data pipeline development, cloud data engineering, and analytics enablement. The role requires strong hands‑on skills in AWS data services, SQL, and Python, along with experience building reliable batch and streaming data pipelines in a global delivery environment.
Job Description:
Min 3 and max upto 5.

Must Have
'Cloud & Data Engineering (AWS)
Strong hands‑on experience with AWS data services, including:
- Amazon S3
- AWS Glue
- Amazon Athena
- Amazon Redshift
- Amazon EMR

Experience designing cloud‑native data lakes and data warehouse architectures
Solid understanding of batch data pipelines and basic exposure to streaming concepts

SQL & Python (Mandatory)
Robust SQL skills (mandatory)
Writing complex queries, joins, aggregations, and transformations
Experience working with large datasets in Redshift / Athena

Strong Python skills (mandatory)




Python for data engineering and ETL use cases
Experience with PySpark / Spark is a strong plus

Good understanding of data modeling, transformations, and performance tuning

Data Processing & Engineering
Hands‑on experience with distributed data processing frameworks (Spark / PySpark)
Experience handling structured and semi‑structured data
Understanding of schema evolution, data quality checks, and validation logic

DevOps & Platform Basics

Working knowledge of Infrastructure as Code (Terraform and/or CloudFormation)
Basic experience with CI/CD pipelines for data workloads
Understanding of logging and monitoring using CloudWatch

Collaboration

Ability to work closely with architects, DevOps, QA, and business stakeholders
Good communication skills to explain technical concepts clearly

Good to HaveExposure to streaming technologies such as Amazon Kinesis or Kafka
Familiarity with Lakehouse and modern data platfo

📌 Data Engineer (Pune)
🏢 dentsu
📍 Pune