Role OverviewThe Data Engineer designs, builds, and maintains the infrastructure and systems required for collecting, storing, and analyzing data. This role ensures data availability, quality, and reliability for business intelligence, analytics, and operational needs. The Data Engineer collaborates with analysts, data scientists, and IT teams to implement efficient pipelines and scalable solutions that support data-driven decision-making.Key ResponsibilitiesDevelop, maintain, and optimize data pipelines to process structured and unstructured data efficiently.Design and manage data architectures, including databases, data warehouses, and data lakes.Implement ETL/ELT workflows for extracting, transforming, and loading data from multiple sources.Monitor data quality and integrity, performing validation and cleaning as necessary.Collaborate with analytics and engineering teams to support reporting, dashboards, and insights.Optimize database performance and data processing workflows for speed and scalability.Integrate APIs, third-party data sources, and internal systems into data platforms.Maintain comprehensive documentation for data pipelines, models, and workflows.Troubleshoot data issues, perform root-cause analysis, and implement solutions.Ensure adherence to data governance, security, and compliance standards.Explore new tools, frameworks, and technologies to improve data infrastructure.Qualifications and RequirementsEducational background in computer science, data engineering, information systems, or a related field.Proficiency in programming languages such as Python, SQL, or Java for data manipulation and processing.Knowledge of relational and non-relational databases, data modeling, and data warehousing concepts.Familiarity with ETL tools, workflow orchestration platforms, or cloud-based data solutions.Strong analytical and problem-solving skills with attention to detail.Ability to collaborate effectively with technical and non-technical teams.Experience working with large datasets and optimizing data pipelines is an advantage.Adaptability to learn new technologies and apply best practices in data engineering.Time-management skills and ability to handle multiple priorities in fast-paced environments.Prior internship, academic project, or professional experience in data engineering is beneficial but not required.SummaryThe Data Engineer plays a vital role in building and maintaining data systems that enable analytics, insights, and operational efficiency. This role offers hands-on experience with data infrastructure and provides a foundation for growth in advanced data engineering, analytics, or data architecture careers.