Senior Data Engineer

About the Role As a Senior Data Engineer , you will be part of a cross-functional development team engineering experiences of tomorrow. This is an ideal role for professionals passionate about data, innovation, and working in a dynamic, international environment. Responsibilities • Build and prototype scalable data pipelines and develop new API integrations to handle increasing data volume and complexity. • Write reusable, testable, and efficient Python code for data ingestion and integration. • Use SQL and Python to analyze data and derive insights in collaboration with business stakeholders. • Work on multiple projects simultaneously, adapting to shifting priorities in a fast-paced environment. • Apply creative problem-solving approaches to complex data challenges, continuously improving data strategies and execution. • Contribute to design, code, configurations, and documentation for components managing data ingestion, real-time streaming, batch processing, ETL, and data storage. • Help maintain and improve engineering infrastructure, identifying and addressing gaps to boost platform quality, robustness, maintainability, and performance. • Collaborate with engineering teams to ensure solutions meet functional, performance, availability, scalability, and reliability standards. • Perform development, QA, and DevOps tasks as needed to ensure end-to-end ownership of solutions. • Work closely with business analysts and data scientists to support their use cases. • Participate in team and unit activities, contribute to community building, and represent the company in conferences and best practice initiatives. • Support sales activities, customer engagements, and digital services. • Understand and contribute to cloud infrastructure design and implementation. Requirements • Proven experience as a data engineer or in a similar role focused on data integration and management. • Strong programming skills in Python, including working with APIs and automation. • Solid foundation in SQL and relational database design. • Excellent problem-solving skills with an algorithmic mindset. • Strong communication skills and ability to collaborate in a team-oriented environment. • Experience building and maintaining robust, scalable data pipelines. • Hands-on experience with batch and streaming data processing systems. • Familiarity with best practices in software development, including documentation, testing, and performance optimization. • Demonstrated ability to work independently and take initiative in high-impact projects. • Understanding of cloud infrastructure and deployment. Desirable • Experience with cloud platforms (e.g., AWS, Google Cloud Platform, Azure). • Knowledge of data warehousing concepts and ETL methodologies. • Familiarity with version control tools such as Git. Skills: Google Cloud Platform, Data Engineer, Azure, Aws Experience: 3.00-7.00 Years