Senior Big Data Engineer (Scala + Spark)

Overview

Join to apply for the Senior Big Data Engineer (Scala + Spark) role at Grid Dynamics .

Our customer is one of the world’s largest technology companies based in Silicon Valley with operations all over the world. 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. We are looking for an experienced Big Data Engineer to join the team.

Responsibilities

• 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

Requirements

We offer

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.

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