Description

You will design and build scalable data solutions on AWS.

This role is on-site.

Responsibilities

• Architect and implement a data hub solution on AWS covering ingestion, transformation, storage, and access control.
• Design and build data pipelines to extract, transform, and load data from various sources using AWS Glue or custom ETL.
• Establish data access controls and security policies using IAM roles and policies for sensitive data.
• Create data catalogs and metadata management systems to enable data discovery for analysts.
• Monitor data pipeline performance and optimize storage and processing costs on AWS.

Required Skills

• 10+ years of professional experience in data architecture and engineering.
• Deep understanding of AWS data services: S3, Glue, Redshift, Athena, Lambda, Lake Formation.
• Proficiency in designing dimensional and snowflake data models.
• Experience with ETL/ELT processes, data cleansing, and data quality checks.
• Proficiency in Python and SQL.
• Experience with PySpark for data processing and manipulation.
• Knowledge of data governance best practices, including lineage tracking and access control.

Preferred Skills

• Experience with data lakehouse architectures.
• Familiarity with data visualization tools like Power BI.

Key Skills

Education

Any Graduate