Description

You will design and manage scalable data architectures and pipelines to support organizational decision-making.

Responsibilities

• Develop and maintain ETL pipelines to extract, transform, and load data from various sources into data lakes or warehouses.
• Design and implement data visualization 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

• 10+ years of professional experience.
• 3+ years of data engineering experience with a focus on Amazon QuickSight dashboard design.
• Advanced proficiency in Python and Linux shell scripting.
• Strong command of SQL and NoSQL databases, including Postgres and Oracle.
• Deep understanding of data modeling, ETL tools, and data warehousing concepts.
• Experience with AWS services including S3, EC2, EMR, Redshift, and Glue.
• Proven ability to build reports used by executive leadership.
• Any Graduate degree.

Preferred Skills

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

Key Skills

Education

Any Graduate