Data Engineer(Data Scientist )

Overview

Join the Global Parts Pricing Data Engineering team as a Data Engineer (Data Scientist) supporting pricing analytics and enterprise strategy. Design and deliver scalable data platforms, pipelines, cloud solutions and data products that support pricing decisions, analytics, automation and AI-enabled outcomes.

What you'll do

• Build infrastructure for extracting, transforming and loading data from a wide variety of data sources.
• Identify, design and implement internal process improvements by automating manual processes, optimizing data delivery and redesigning infrastructure for greater scalability.
• Perform debugging, troubleshooting, modifications and testing of integration solutions.
• Operationalize developed jobs, processes and models.
• Create databases and infrastructure to process data at scale.
• Create solutions and methods to monitor systems and solutions.
• Automate code testing and pipelines.
• Engage with business partners to participate in the design and development of data integration and transformation solutions according to functional requirements.
• Design, build and optimize scalable batch and real-time data pipelines for analytics, reporting and AI applications.
• Develop resilient, scalable and secure solutions using cloud-based data platforms, storage and processing technologies.
• Consolidate diverse data sources into well-governed, consumable data products using data modeling, transformation and integration techniques.
• Implement data quality frameworks, monitoring, testing and automated validation.
• Partner with cross-functional teams to understand business needs and deliver data solutions that support pricing decisions, analytics, automation and AI-enabled outcomes.
• Engage in continuous learning and actively seek industry perspectives through peer groups and related activities.

What you'll need

• Ability to design, build and optimize scalable batch and real-time data pipelines.
• Experience with cloud-based data platforms, storage and processing technologies.
• Knowledge of data modeling, transformation and integration techniques.
• Experience implementing data quality frameworks, monitoring, testing and automated validation.
• Ability to partner with cross-functional teams to understand business needs and deliver data solutions.
• Extensive experience designing and developing software applications in Python.
• Experience with AI-assisted software development, such as GitHub Copilot, Cursor or Codex.
• Extensive experience working with Git version control.
• Extensive experience deploying software using CI/CD tools such as GitHub Actions or Azure DevOps.
• Experience with AWS components such as Bedrock, Lambda, Fargate, S3, SageMaker, IAM and RDS.
• Experience with databases such as PostgreSQL, Snowflake or Oracle.
• Demonstrated strong learning ability and a proactive approach to staying current with the latest technologies and industry trends.
• Knowledge of business statistics, including statistical tools, processes and practices used to describe business results and support business decisions.
• Understanding of accuracy and attention to detail, including completing tasks with high levels of precision.
• Knowledge of analytical thinking techniques and tools used to determine root causes and create alternative solutions.
• Knowledge of machine learning principles, technologies and algorithms, with ability to develop, implement and deliver related systems, products and services.
• Knowledge of programming concepts and capabilities, with ability to use tools, techniques and platforms to write and modify programming languages.
• Knowledge of data management systems and ability to use, support and access facilities for searching, extracting and formatting data.
• Knowledge of requirements analysis tools, methods and techniques, with ability to elicit, analyze and record functional and non-functional requirements.

Details

• Location: Brigade World Trade Center Office, Chennai, India.
• Work onsite in the office five days a week.
• Work a five-day-a-week schedule.
• Work the EMEA shift from 01:00 PM to 10:00 PM IST.
• Visa sponsorship is not available for this position.