- 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 recent 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.
📌 AWS Data Engineer (India)
🏢 DataQuad
📍 India
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