Data Engineer, Tech

We are seeking a highly motivated and responsible **Data Engineer** to join our dynamic team. This role requires hands\-on experience in building scalable data pipelines, managing structured and unstructured databases, and supporting end\-to\-end data operations. The ideal candidate will bring strong problem\-solving skills, a collaborative mindset, and a commitment to data excellence. **Responsibilities** * Design, develop, and manage reliable and scalable data pipelines. * Clean, validate, and transform data from multiple sources for analytics and operational use. * Work with large datasets and ensure high data quality and availability. * Develop and maintain ETL workflows using standard tools and scripting. * Automate data extraction, transformation, and loading processes across systems. * Monitor and optimize performance of data workflows for speed and efficiency. * Develop, maintain, and optimize complex SQL queries, stored procedures, functions, and views. * Design and implement relational database schemas and indexing strategies. * Ensure data integrity, security, and compliance within SQL Server environments. * Work with MongoDB for storing and querying unstructured or semi\-structured data. * Design document\-based data models and manage performance tuning for MongoDB. * Handle replication and backup strategies where applicable. * Analyze complex data requirements and translate them into efficient technical solutions. * Identify data\-related issues, perform root\-cause analysis, and deliver timely resolutions. * Work closely with data analysts, software engineers, and business stakeholders to understand requirements. * Participate in code reviews, team planning sessions, and cross\-functional meetings. * Take ownership of assigned tasks with accountability and attention to detail. * Exhibit a proactive approach to delivering solutions and supporting team goals. * Contribute to architectural discussions and recommend improvements based on industry best practices. **Qualifications** * Bachelor’s degree in Computer Science, Information Systems, or a related field. * 2–3 years of experience in data engineering or database development roles. * Strong proficiency in SQL Server (T\-SQL, indexing, optimization). * Hands\-on experience with MongoDB or other NoSQL technologies. * Familiarity with data pipeline tools and ETL development. * Working knowledge of Python or similar scripting languages. * Understanding of data modeling, normalization, and data warehousing concepts. * Strong analytical thinking and problem\-solving skills. * Excellent communication and teamwork abilities.