Lead Data Engineer - Data Engineering 4C

Overview

Serve as a senior, hands-on software engineer within a CARS DevOps squad, migrating complex Automation Anywhere automations and reusable components to open-source Python on the Convergence platform. Build and support production-grade automations using AI-assisted development with rigorous review, testing, supportability and auditability.

What you'll do

• Migrate and rebuild the highest-complexity automation use cases from Automation Anywhere to Python on the Convergence platform.
• Use AI coding assistants to accelerate development, then review, test and harden generated code so it behaves identically to the original.
• Build new automations and shared libraries that raise squad productivity.
• Decompose legacy bots into clear specifications and reusable patterns.
• Review code from T1 engineers and enforce CARS coding, testing and audit standards before changes are merged.
• Design and implement automated test coverage, including edge cases, to prove equivalence between migrated and legacy automations.
• Produce and maintain test evidence required to meet ITGC audit standards.
• Identify incorrect AI-generated output, coach the team on detecting it and improve automated standards to prevent recurrence.
• Resolve complex production issue escalations and keep critical automations running.
• Improve monitoring, logging and resilience of automations on the Convergence platform.
• Mentor engineers and pair with them on complex or audit-sensitive work.
• Contribute to squad ceremonies, code reviews and continuous improvement of the CARS development framework.
• Document automations, patterns and decisions to support handoff, scalability and audit.

What you'll need

• Professional software engineering experience with strong, production-grade Python.
• Working knowledge of object-oriented programming.
• Proven track record migrating, refactoring or rebuilding complex codebases.
• Strong testing discipline and the ability to prove that code behaves correctly.
• Skill at reading, reviewing and repairing code written by others, including AI-generated code.
• Hands-on experience running software in production, including monitoring, incident response and operational support.
• Familiarity and comfort with SQL.
• Solid experience with version control using Git and CI/CD.
• Strong problem-solving skills and sound engineering judgment.
• Fluent English, written and verbal, required for global collaboration.
• Qualifications: Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, or Masters - Data Science.
• Required skills include Agile Methodology, Client Relations, Cloud Computing, Consumer Packaged Goods (CPG) and proficient English language proficiency at C2.

Nice to have

• Experience migrating RPA automations using Automation Anywhere, UiPath or Blue Prism to code.
• Hands-on use of AI coding assistants such as Cursor, GitHub Copilot, Gemini or Claude.
• Experience mentoring or leading junior engineers.
• Cloud platform experience with Azure or GCP.
• Certified Data Management Professional - Riversand.
• Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks Academy.
• Databricks Certified Associate Developer for Apache Spark - Databricks Academy.
• Microsoft Certified: Azure Data Engineer Associate - Microsoft.
• Oracle Database 12c Certified Implementation Specialist - Oracle.

Details

• Location: Hafeezpet Phoenix, Hyderabad, India.
• Office work.
• Regular employment type.
• Flex Time (India) shift.
• The role operates within a CARS DevOps squad in Brazil or GCC India.
• Reports to the Senior Manager, CARS, with technical direction from the squad's Senior Software Architect and the CARS Senior Engineering Lead.
• Works in an Agile delivery model where AI-assisted development is a core part of the workflow, paired with rigorous review and verification.
• Technology scope includes Python, Git, CI/CD pipelines, automated testing frameworks, SQL Server, AI coding assistants, Automation Anywhere and the Convergence home-grown platform.