Description

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

Responsibilities

• Lead the design and implementation of AWS-based data products using reusable datasets.
• Manage both real-time and batch data pipelines.
• Design and model data workflows from ingestion to presentation, ensuring security, privacy, and cost-effectiveness.
• Build frameworks that enable easy access to data insights for stakeholders with low data fluency.
• Create showcase environments to demonstrate data engineering best practices on AWS.

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 including 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.
• Ability to create user-friendly data interfaces and visualizations.

Key Skills

Education

Any Graduate