Big Data Engineer

Essential functions

• 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.

Qualifications

• 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 Scala.

• Knowledge of cloud platforms and services (e.g., AWS, Google Cloud, Azure).

• Willingness to work with up to a 10 am PT time overlap.

• 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.

Would be a plus

• Experience with additional data processing frameworks and tools.

• Experience with big data technologies and distributed systems.

• Familiarity with machine learning and Al concepts.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

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.