Data Analyst

As a Data Engineer, your role involves assembling large, complex sets of data that meet non-functional and functional business requirements. You will develop and maintain scalable data pipelines, build new API integrations, and collaborate with analytics and business teams to improve data models for business intelligence tools. Your responsibilities also include building infrastructure for optimal data extraction, transformation, and loading using SQL and other technologies. Key Responsibilities: - Collaborate with analytics and business teams to enhance data models for business intelligence tools - Build infrastructure for optimal data extraction, transformation, and loading from various sources - Implement processes to monitor data quality and ensure accurate production data availability - Perform data analysis to troubleshoot and resolve data-related issues - Work closely with frontend and backend engineers, product managers, and analysts - Define company data assets and design data integrations and quality framework - Evaluate tools for data lineage and develop a strategy for long-term data platform architecture - Build analytical tools utilizing the data pipeline for actionable insights into key business metrics Qualifications: - Knowledge of best practices and IT operations in an always-available service environment - Experience with Agile Software Development methodologies - Previous experience as a data engineer or in a similar role - Technical expertise 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 exceptional documentation skills - Outstanding oral and written communication with a focus on customer service,