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описание
Grid Dynamics is a technology consulting, platform and product engineering, AI, and advanced analytics services provider that solves technical challenges and enables business outcomes for enterprise companies undergoing digital transformation.
задачи
Design, develop, and maintain robust data pipelines using Scala, Spark, HDFS, Gradle, Kubernetes, and Airflow;
Implement scalable and efficient data workflows to support data ingestion, processing, and analysis;
Develop and maintain continuous reporting systems and dashboards to provide real-time insights;
Collaborate with cross-functional teams to understand data requirements and deliver data solutions;
Optimize and tune data processing systems for performance and reliability;
Ensure data quality and integrity throughout the data lifecycle;
Troubleshoot and resolve data processing and pipeline issues;
Stay up-to-date with industry trends and emerging technologies to drive innovation in data engineering.
требования
Bachelor's or Master's degree in Computer Science, Engineering, or a related field;
Proven experience as a Data Engineer or in a similar role;
Strong proficiency in Spark, HDFS, and Airflow;
Solid programming skills in Scala;
Experience with data pipeline architecture and implementation;
Expertise in building and maintaining continuous reporting systems and dashboards;
Strong problem-solving skills and attention to detail;
Excellent communication and collaboration skills;
Ability to work independently in a remote team environment;
Nice to have: Familiarity with data warehousing concepts and technologies.