Data/ETL Engineer

About Ascendion

Ascendion is a leader in AI-powered software engineering, helping businesses innovate faster, smarter, and with greater impact. We partner with Global 2000 clients across North America, UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI™ (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth. Learn more at ascendion.com

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

· Build the coolest tech for world’s leading brands

· Solve complex problems - and learn new skills

· Experience the power of transforming digital engineering for Fortune 500 clients

· Master your craft with leading training programs and hands-on experience

Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

Location: Hyderabad, India (Offshore)

Role Overview

As a Data Engineer within the organization, you will play a critical role in automating and scaling the financial systems that power global operations. You will focus on building robust data pipelines that transform massive datasets into actionable reports for Finance, Tax, and Accounting stakeholders.

A key part of this role involves transitioning legacy reporting processes into a new, high-efficiency automation tool launching this month. You will act as a bridge between big data infrastructure and business-critical financial insights.

Key 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 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 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.

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 QuickSight or similar (Tableau/PowerBI).

Domain Experience

• Financial Context: Previous experience supporting Finance, Tax, or Accounting domains. Understanding of "Financial Close" cycles is a significant plus.

Professional

• Level: 4-7 years of experience (Mid to Senior).
• Communication: Excellent verbal and written English, capable of explaining technical trade-offs to non-technical finance partners.

Want to change the world? Let us know.

Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!