Role Description:TheData Engineeris responsible for designing, building, and maintaining robust data pipelines and infrastructure that enable the collection, storage, and processing of large-scale datasets. This role plays a central part in ensuring that data is accessible, reliable, and efficiently structured to support analytics, reporting, and data-driven decision-making across the organization. Working closely with data scientists, analysts, and software engineers, the Data Engineer develops scalable solutions that integrate diverse data sources and power modern analytics and business intelligence platforms.Key responsibilities include building and maintaining data pipelines, optimizing data architecture, and ensuring high standards of data quality, performance, and security. TheData Engineerwill collaborate on the design of data models, implement data governance practices, and support automation of data workflows. The role also involves troubleshooting data-related issues, monitoring system performance, and contributing to continuous improvement initiatives to enhance the organization's data ecosystem.The ideal candidate is technically skilled, detail-oriented, and collaborative, with a deep understanding of data infrastructure and a passion for solving complex problems using technology.Key Responsibilities:Design, develop, and manage scalable data pipelines and ETL processes.Build and maintain data architectures that support analytics and business intelligence.Integrate data from multiple internal and external sources into centralized data systems.Ensure data accuracy, consistency, and security through validation and monitoring.Optimize data storage, processing, and retrieval for performance and cost efficiency.Collaborate with data scientists and analysts to support machine learning and analytics initiatives.Contribute to data governance and documentation standards.Stay current with emerging data engineering tools, technologies, and best practices.Qualifications:Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.3–5 years of experience in data engineering, data warehousing, or big data environments.Strong programming skills in Python, SQL, and familiarity with Java or Scala.Hands-on experience with ETL frameworks and tools (e.g., Airflow, dbt, Talend).Experience with cloud-based data platforms (e.g., AWS, Azure, or Google Cloud).Knowledge of modern data storage solutions such as Snowflake, BigQuery, or Redshift.Understanding of data modeling, API integration, and distributed systems.Familiarity with DevOps, containerization, or CI/CD practices is a plus.Strong analytical, problem-solving, and communication skills.Fluency in English required; additional languages are an advantage.This position offers an opportunity to work on cutting-edge data infrastructure projects and shape the foundation for data-driven decision-making. As aData Engineer, you will play a key role in enabling scalable analytics, supporting innovation, and empowering teams across the organization to extract maximum value from data.