AWS Data Engineer

AWS Data Engineer

Exp:6+ Years

Hyderabad

WFO- 5 Days

Fulltime

Required Skills & Qualifications

Technical Core

• SQL Mastery: Expert-level SQL (Redshift, PostgreSQL, or Athena) for complex data manipulation and performance tuning.
• AWS Ecosystem: Proficiency with S3, Redshift, AWS Glue, and Lambda . Experience with EMR for big data processing is highly preferred.
• Programming: Strong proficiency in Python (preferred), Java, or Scala for ETL automation and data scripting.
• BI & Analytics: Hands-on experience building production-ready reports in Amazon QuickSight or similar (Tableau/PowerBI).

Responsibilities:

• Data Transformation & Architecture: Design, implement, and support scalable ETL/ELT pipelines to extract data from various AWS internal services and transform it to meet specific Finance/Tax business needs.
• Big Data Management: Manage large-scale datasets within the Amazon Data Lake, ensuring high performance and data integrity for high-stakes financial reporting.
• Process Expedition: Analyze existing manual reporting workflows and “expedite” them through automation, reducing hours spent on manual “Internal Closes.”
• Reporting & Visualization: Build and maintain sophisticated dashboards in Amazon QuickSight (and other internal BI tools) to provide real-time visibility into financial health.
• Tool Adoption & Migration: Play a lead role in the deployment of the team’s new internal automation tool, migrating existing logic and ensuring a seamless launch.
• Stakeholder Collaboration: Partner with Finance and Accounting teams to translate complex tax/accounting requirements into technical data specifications.