- 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 (Hyderabad)
🏢 Adroit India
📍 Hyderabad
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