We’re looking for Senior Big Data Engineer who will join the team is responsible for building and maintaining data pipelines and datasets related to application metadata for internal stakeholders. The work involves developing scalable data solutions, ensuring data quality, and supporting business needs through reliable data infrastructure
Essential functions
- Design, develop, and maintain data pipelines and datasets using Scala and Spark.
- Collaborate with technical leads and business stakeholders to gather requirements and deliver high-quality data solutions.
- Participate in service migration projects and development of new services.
- Create and maintain comprehensive documentation and technical guides.
- Ensure smooth data processing and high system reliability.
Qualifications
- Strong hands-on experience with Scala and Spark.
- Proven background in data pipelines development and data engineering.
- Strong analytical and problem-solving abilities.
- Excellent communication skills for direct interaction with business stakeholders.
- Ability to work independently and produce clear documentation.
- Availability to join evening calls (till 21:00)
- English level: Upper Intermediate or higher
Would be a plus
- Experience with AWS and Snowflake.
- Background in migrating Big Data solutions from on-premise to cloud environments.
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.