Description

You will design and implement scalable AWS-based data products and solutions.

Responsibilities

• Lead the design and implementation of AWS data products using reusable datasets.
• Manage real-time and batch data pipelines from ingestion to presentation.
• Build frameworks that enable easy access to data insights for stakeholders.
• Create showcase environments to demonstrate data engineering best practices.

Required Skills

• 5+ years of experience in the full data lifecycle, including setup, design, modelling, testing, deployment, and monitoring.
• Strong background in cloud-based data architecture (SaaS, PaaS, IaC).
• Proficiency in Python, SQL, Spark, and DBT.
• Deep knowledge of AWS services: Glue, EMR, S3, and Redshift.
• Experience with Kafka and AWS Kinesis.
• Experience with Infrastructure-as-Code using Terraform or AWS CloudFormation.
• Proven ability to design and optimize data models for quality and performance.

Key Skills

Education

Any Graduate