Big Data Engineer (Scala/Spark)
We are looking for Big Data Engineer to join our team.
Essential functions
- Participate in design and development of Big Data analytical applications
- Design, support and continuously enhance the project code base, continuous integration pipeline, etc.
- Write complex ETL processes and frameworks for analytics and data management
- Implement large-scale near real-time streaming data processing pipelines
- Work inside the team of industry experts on the cutting edge Big Data technologies to develop solutions for deployment at massive scale
Qualifications
- Strong coding experience with Scala
- In-depth knowledge of Hadoop and Spark, experience with data mining and stream processing technologies (Kafka, Spark Streaming, Akka Streams)
- Understanding of the best practices in data quality and quality engineering
- Experience with version control systems, Git in particular
- Desire and ability for quick learning of new tools and technologies
- Availability to join evening calls (till 21:00)
- English level: Upper Intermediate or higher
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.
