Senior Big Data Engineer (Scala + Spark)
Summary
Build and maintain high-performance data pipelines in Scala and Spark to process petabyte-scale datasets and deliver real-time analytics for enterprise clients.
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We are looking for an experienced Big Data Engineer to support the development of high-performance data analytics platforms handling petabytes datasets.
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
- 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.
- 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.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Engineering and Information Technology
Industries
- IT Services and IT Consulting