Data Engineer

Role Overview The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and storage systems that enable reliable data access across the organization. This role ensures that raw data is properly collected, transformed, validated, and made available for analytics, reporting, and machine learning applications. Data Engineers work closely with Data Analysts, Data Scientists, and other technical teams to deliver efficient and well-organized data infrastructure. The position suits individuals who enjoy solving complex technical problems, optimizing systems, and working with large datasets.Key ResponsibilitiesDesign, build, and maintain ETL/ELT pipelines that process structured and unstructured data from various sources.Develop and optimize data architectures, including data warehouses, data lakes, and cloud-based storage.Collaborate with analytics and engineering teams to understand data requirements and deliver clean, usable datasets.Ensure data quality by implementing validation checks, monitoring pipelines, and resolving data integrity issues.Optimize database performance, including query tuning and indexing strategies.Automate data workflows to improve efficiency, reliability, and scalability.Maintain comprehensive documentation covering data models, pipelines, schemas, and system configurations.Implement data governance practices related to security, availability, and access control.Participate in cross-functional projects requiring data integration, migration, and system enhancements.Research and evaluate new tools and technologies to strengthen data architecture and processing frameworks.Qualifications and RequirementsBachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.Experience with programming languages such as Python, Java, or SQL for data processing and automation.Familiarity with ETL/ELT processes, data modeling, and database design.Knowledge of data warehousing concepts, distributed systems, or cloud data platforms.Strong analytical and problem-solving skills with attention to detail.Experience working with version control systems and collaborative development workflows.Understanding of best practices in data security, access control, and compliance.Strong communication skills for collaborating with multiple technical and non-technical teams.Ability to manage priorities and work in a dynamic environment with evolving project requirements.Curiosity and motivation to continuously learn new technologies, frameworks, and data engineering approaches.Summary A Data Engineer plays a key role in building robust data systems that support organization-wide analytics and decision-making. This position provides valuable experience for career advancement into Senior Data Engineer, Data Architect, Platform Engineer, or Machine Learning Engineer roles. It is ideal for individuals who enjoy working with data infrastructure and developing scalable, high-impact technical solutions.