Job Summary

As the Data Engineer in the Data Foundation scope, you have in-depth knowledge of the technical details and how the products work, and you will act as team player in a team of data engineers responsible for the technical configuration, development and integration of products and platforms based on our tech stack, used by specific business processes across OpCos, to better serve their customers.

You will produce high quality code and solutions aligned with architecture and business objectives and ensure on-time delivery. You will be part of team that will drive the end-to-end operations of the platforms, keeping them streamlined, structured, and within service level agreements.

You will collaborate closely with other Data and Analytics teams for efficient development / deployment pipelines.

You will work directly with the Data Engineering Lead, Senior Data Engineer, Product Owner(s) and Product Architect(s), understanding the business needs and translating them into specifications and services in line with overall engineering standards and roadmaps.

You will be expected to be implementing new features, deliver high quality code, follow the agile methodologies and be a team player. The most important part is to be part of the team effort towards value-driven outcomes and the successful completion of tasks. Your proactive approach will be key in maintaining comprehensive documentation and collaborating with your team members through offering help, raising question and actively taking part in all activities

You will serve as a key contributor in refining and driving excellence in solution engineering practices to deliver high-quality solutions throughout the software development lifecycle in our Data landscape.

The role reports directly to the Data Engineering Lead.

Key Responsibilities

Your responsibilities will include:  Responsibilities:  Be a team player in team of Data Engineers in designing, developing, and delivering scalable, reliable, and high performing big data solutions Effective team member in implementing the design, development, and maintenance of scalable data pipelines and ETL processes. Monitor and optimize data infrastructure performance, identifying and resolving bottlenecks and issues. Be a team player from a technical standpoint, and drive operational excellence, including code reviews, design reviews, testing, and deployment processes. Be an individual contributor (~60%) engineering the software products/solutions, jointly with the team Follow and  adheres to coding standards, best practices, and architectural guidelines, be a positive contributor to team spirit and team performance. Follow good practices, coding standards and modern architecture for DataOps; be a “go-to-person for technical decisions and problem-solvi

Skill Requirements

Other Requirements

• 3+ years of experience in Data Engineering, with a strong understanding of data integration, ETL processes, and data warehousing.
• Hands-on experience and in-depth knowledge of the technologies listed as mandatory in the Technology Stack section
• Strong understanding and implementation of software development principles, coding standards, and modern architecture
• Familiarity with data governance and compliance standards.
• Hands-on experience in implementing and managing End-to-End DataOps / Data Engineering projects in a team
• Experience in working in diverse projects with varying technologies, products, and systems
• Strong problem-solving skills and ability to make critical technical decisions
• Effective communication and interpersonal skills, with the ability to collaborate with technical and non-technical stakeholders.
• Proven ability to demonstrate that can work independently and a self-starter

Pragmatic, and collaborative team player