Role Description:The Data Engineer is responsible for designing, building, and maintaining the organization's data infrastructure and pipelines to ensure efficient collection, storage, transformation, and accessibility of high-quality data. This role is central to enabling data-driven decision-making by providing reliable, scalable, and well-structured data to analysts, data scientists, and business teams. The Data Engineer collaborates with cross-functional stakeholders to implement solutions that support analytics, reporting, and operational initiatives.Key responsibilities include developing and maintaining ETL (Extract, Transform, Load) pipelines, integrating multiple data sources, and optimizing data workflows for performance, scalability, and reliability. The Data Engineer will work on data modeling, manage data warehouses or data lakes, and ensure adherence to best practices for data governance, security, and quality. Additionally, this role involves monitoring and troubleshooting data pipelines, supporting business intelligence initiatives, and contributing to the continuous improvement of data architecture and processes.The ideal candidate combines strong technical expertise with analytical problem-solving skills. They should be experienced in working with large datasets, cloud platforms, and modern data technologies, while maintaining a keen eye for detail and quality. The Data Engineer must be able to translate complex technical requirements into efficient data solutions, while collaborating effectively with both technical and non-technical stakeholders.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, software engineering, or a related technical role.Proficiency in programming languages such as Python, Java, or Scala.Strong experience with SQL and relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB).Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, or similar).Familiarity with cloud platforms and services (AWS, Google Cloud, Azure) including data storage and processing solutions (Redshift, BigQuery, Snowflake).Knowledge of data warehousing, data lakes, and distributed computing frameworks (e.g., Spark, Hadoop).Understanding of data governance, security, and compliance principles.Strong analytical, debugging, and problem-solving skills.Ability to communicate complex technical concepts clearly to non-technical stakeholders.Collaborative mindset and experience working in cross-functional teams.This role offers an exciting opportunity to design and maintain robust data infrastructure, turning raw data into actionable insights. As aData Engineer, you will play a crucial role in supporting data-driven strategies, enabling operational efficiency, and fostering innovation across the organization.