AWS Data Engineer

AWS Data Engineer

Experience : 6 Years

Location : Hyderabad

Work Mode : WFO 5 Days

Employment Type : 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.