Description

You will design and manage scalable data architectures and pipelines within an AWS environment.

Responsibilities

• Develop and maintain ETL pipelines to extract, transform, and load data from various sources into data lakes and warehouses.
• Build and manage data architectures using AWS services including S3, EC2, EMR, Redshift, and Glue.
• Create data visualizations and analytics dashboards using Amazon QuickSight for senior leadership.
• Implement data quality standards to ensure accuracy and integrity across all datasets.
• Collaborate with data scientists, analysts, and product managers to translate business requirements into technical data structures.

Required Skills

• 3+ years of experience in data engineering.
• Expertise in designing dashboards with Amazon QuickSight.
• Advanced proficiency in Python and Linux shell scripting.
• Strong command of SQL and NoSQL databases, including Postgres and Oracle.
• Deep understanding of data warehousing concepts, ETL processes, and data modeling.
• Experience working with AWS services such as S3, EC2, EMR, Redshift, and Glue.
• Proven ability to translate complex business requirements into technical solutions.

Preferred Skills

• Experience with PowerBI or Tableau.
• AWS Certified Data Engineer - Associate or similar certification.
• Master's degree in Computer Science, Engineering, Analytics, Mathematics, Statistics, or IT.

Key Skills

Education

Any Graduate