Description

You will design and implement end-to-end AWS data platforms, covering architecture, engineering, visualization, and governance.

This role is on-site.

Responsibilities

• Design and implement end-to-end AWS data platforms, including Operational Data Stores, Data Warehouses, Data Lakes, and Data Marts.
• Lead data migrations and build data warehousing solutions using AWS technologies.
• Manage data quality and lineage across the entire data lifecycle.
• Estimate project efforts and plan execution timelines for data initiatives.
• Liaise between business and IT stakeholders to align technical solutions with requirements.

Required Skills

• 10-15 years of total IT experience.
• 3+ years of expertise in AWS data platform technologies including Glue, EMR, Redshift, and Databricks.
• Proven experience with at least one end-to-end AWS data platform implementation.
• Strong hands-on SQL and Data Warehousing lifecycle knowledge.
• Experience with cloud ETL/ELT tools such as DBT, Glue, EMR, or Matillion.
• Exposure to the Big Data ecosystem and Hadoop.
• Expertise in traditional data warehouse solutions like Oracle, Teradata, or Oracle Exadata.
• Experience working within Agile methodologies.
• Bachelor's degree or equivalent graduate education.

Preferred Skills

• Understanding of Data Vault, data mesh, and data fabric architecture patterns.

Key Skills

Education

Any Graduate