Senior Big Data Engineer (Scala + Spark)
We are looking for an experienced Big Data Engineer to support a development of high-performance data analytics platforms handling petabytes datasets.
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 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.
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Professional development opportunities
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.