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.

Skills

AWS, Data Engineering, SQL, AWS Glue, Redshift, Big Data, Python, Scala, Data Visualization, Quicksight