Senior Big Data Engineer
Our customer is one of the world’s largest technology companies based in Silicon Valley with operations all over the world. In this project, we are working on the bleeding edge of Big Data technology to develop a high-performance data analytics platform, which handles petabytes datasets.
We are looking for an experienced Big Data Engineer.
Essential functions
Design and Develop Big Data Solutions: Architect, design, and implement scalable and reliable big data solutions using Scala, and Spark technologies to meet business requirements.
Data Ingestion and Processing: Develop robust data ingestion processes to acquire, clean, and transform large volumes of structured and unstructured data from various sources into usable formats.
Optimize Data Pipelines: Build and optimize data pipelines and workflows for efficient data processing, storage, and retrieval, ensuring high performance and low latency.
Real-Time Data Processing: Implement real-time data processing solutions using Spark Streaming or other similar technologies to enable real-time analytics and decision-making.
Data Quality and Governance: Establish and enforce data quality standards, data governance policies, and best practices to ensure data accuracy, consistency, and integrity across systems.
Qualifications
Strong data engineering experience with Scala/Spark/SQL
CI/CD, Kubernetes
Experience with data migration projects
Experience with auto-documenting
Hands-on experience with jobs validating, legacy code, jobs performance
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.Apply to the position
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