Senior Big Data Engineer
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| Company Name | Grid Dynamics |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | Yerevan, Yerevan, Armenia |
| Qualifications | None / No Formal Education |
| Experience | 5 Year+ |
Job Overview
Grid Dynamics is seeking a Senior Big Data Engineer to join their team in Yerevan, Armenia. In this role, you will be instrumental in designing, implementing, and optimizing scalable big data solutions, leveraging advanced generative, agentic, and physical AI, data platforms, and cloud-native engineering to transform Fortune 1000 enterprises.
Company Overview
Grid Dynamics (Nasdaq: GDYN) is an AI-first digital engineering services and technology consulting company. Founded in Silicon Valley in 2006, they transform Fortune 1000 enterprises through advanced generative, agentic, and physical AI, data platforms, and cloud-native engineering. With approximately 5,000 technical professionals across 19 countries, Grid Dynamics offers the personal touch of a boutique partner backed by the engineering muscle of a global powerhouse. The company has nine years of leadership in enterprise AI, fusing technical vision with business acumen to solve complex challenges through co-innovation and global delivery. Grid Dynamics is headquartered in Silicon Valley with a global footprint across Americas, Europe, and India, operating on a follow-the-sun delivery model.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: None / Open to all applicants
- Experience: 5 Year+
Key Responsibilities
- Design, develop, and maintain highly scalable and reliable big data pipelines and platforms.
- Implement data solutions using various big data technologies (e.g., Spark, Hadoop, Kafka).
- Collaborate with AI/ML teams to integrate data engineering solutions with advanced analytics models.
- Optimize data processing workflows for performance, cost efficiency, and scalability.
- Ensure data quality, integrity, and security across all big data ecosystems.
- Mentor junior engineers and contribute to technical leadership within the team.
Requirements
- Proven experience as a Big Data Engineer, working with large-scale data processing systems.
- Strong proficiency in programming languages such as Java, Python, or Scala.
- Extensive experience with big data technologies like Apache Spark, Hadoop, Kafka, or Flink.
- Solid understanding of cloud platforms (AWS, Azure, GCP) and data warehousing solutions.
- Ability to design and implement robust, scalable, and high-performance data architectures.
- Excellent problem-solving, analytical, and communication skills.
Benefits
- Opportunities for professional growth and career advancement within a global company.
- Work on cutting-edge AI and data platform projects transforming Fortune 1000 enterprises.
- Collaborative, innovative, and technically driven work environment.
- Exposure to a diverse, multicultural team with a global footprint.
- Competitive compensation package and performance incentives.
- Flexible work arrangements and comprehensive benefits.