Data Engineer

You will be responsible for assembling large, complex sets of data that meet both non-functional and functional business requirements. This includes developing and maintaining scalable data pipelines, as well as building new API integrations to support the increasing volume and complexity of data. You will collaborate with analytics and business teams to enhance data models, which in turn feed into business intelligence tools, thereby increasing data accessibility and promoting data-driven decision making throughout the organization. Your role will also involve establishing the necessary infrastructure for the optimal extraction, transformation, and loading of data from various sources using SQL and other relevant technologies. You will implement processes and systems to monitor data quality, ensuring that production data remains accurate and available for key stakeholders and critical business processes. Writing unit/integration tests, contributing to the engineering wiki, and documenting your work will be essential tasks. Furthermore, you will conduct data analysis to troubleshoot data-related issues and aid in their resolution. You will collaborate closely with a team of frontend and backend engineers, product managers, and analysts. Defining company data assets, designing data integrations and a data quality framework, as well as evaluating tools for data lineage will also be part of your responsibilities. Your role will involve working with all business units and engineering teams to devise long-term strategies for the data platform architecture. You will be instrumental in building analytical tools that utilize the data pipeline to provide actionable insights into key business performance metrics, such as operational efficiency and customer acquisition. ### Qualifications / Skills: - Knowledge of best practices and IT operations in an always-up, always-available service environment. - Familiarity with Agile Software Development methodologies. - Previous experience as a data engineer or in a similar role. - Technical proficiency in data models, data mining, and segmentation techniques. - Proficiency in programming languages such as Java and Python. - Hands-on experience with SQL database design. - Strong numerical and analytical skills. - Excellent problem-solving and troubleshooting abilities. - Process-oriented with strong documentation skills. - Outstanding oral and written communication skills, with a strong focus on customer service.,