Job highlights

- Strong understanding of AI concepts and experience with Hadoop, Spark, and NoSQL databases

- Design, develop, and implement data pipelines; maintain large-scale data systems; ensure data quality and security; optimize workflows

Roles and Responsibility

- Design, develop, and implement data pipelines using AI and other tools.

- Collaborate with cross-functional teams to identify and prioritize project requirements.

- Develop and maintain large-scale data systems and architectures.

- Ensure data quality, integrity, and security.

- Optimize data processing workflows for improved efficiency and performance.

- Stay updated with industry trends and emerging technologies in AI and tooling.

Job Requirements

- Strong understanding of AI concepts and their applications in data engineering.

- Experience with various data tools and technologies such as Hadoop, Spark, and NoSQL databases.

- Excellent problem-solving skills and attention to detail.

- Ability to work collaboratively in a team workplace.

- Strong communication and interpersonal skills.

- Ability to adapt to changing priorities and deadlines.

📌 Senior Data Engineer (AI/Tooling) (Bengaluru)
🏢 Luxoft
📍 Bengaluru