We are looking for an experienced Big Data Engineer.
In this project, we are working on the bleeding edge of Big Data technology to develop a high-performance data analytics platform, which handles petabytes datasets.
Key Responsibilities: Develop migration tooling to facilitate the transfer of job configurations to a new data platform.
Write efficient, high-performance code in Scala.
Design and implement distributed data systems for high availability, reliability, and performance.
Collaborate with stakeholders and other software engineers to build robust platform features.
Ensure data integrity, governance, and security within the infrastructure.
Min Requirements: 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, Airflow Solid programming skills in Java and/or Scala.
Experience with data pipeline architecture and implementation.
Expertise in building and maintaining continuous reporting systems and dashboards.
Familiarity with data warehousing concepts and technologies.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Ability to work independently and in a remote team environment.
About US: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services.
Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation.
A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience.
Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.