Data Engineer

Data Engineers are responsible for designing, developing, and operationalizing scalable, secure, and high-performance data platforms that support enterprise-wide analytics and decision-making.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
• Demonstrated proficiency in written and verbal communication in English.
• 7 or more years of professional experience in data engineering or a related field.
• Hands-on experience designing, building, and maintaining scalable data pipelines and ETL/ELT workflows using tools such as Apache Spark, Airflow, or cloud-native services (e.g. AWS Glue, Azure Data Factory).
• Experience with cloud platforms (e.g. AWS, Azure) for data storage, processing.
• Proficiency in programming languages such as Python, SQL with a strong understanding of data structures and algorithms.
• Collaboration experience with cross-functional teams including data scientists, analysts, and software engineers to deliver end-to-end data solutions.
• Experience implementing data quality, validation, and governance practices to ensure data integrity and compliance.
• Experience working with large-scale datasets, including structured, semi-structured, and unstructured data is highly preferred.
• Relevant certification is required.
• Willingness and ability to travel domestically and internationally, as necessary.