Senior Data Engineer (AI/Tooling)

Luxoft; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Luxoft Bengaluru is seeking a data engineer to design, develop, and implement data pipelines using AI and related tools, collaborating with cross-functional teams to define requirements. You will build and maintain large-scale data systems, ensuring data quality and security while optimizing workflows for higher performance.

You will stay updated with AI trends and evolving tooling to drive efficiency and innovation in data engineering initiatives across the organization.

Qualifications

• Strong understanding of AI concepts and their applications in data engineering.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Strong communication and interpersonal skills.

Responsibilities

• 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.

Skills

AI concepts

Problem solving

Team collaboration

Communication

Adaptability

Tools

Hadoop

Spark

NoSQL databases

Job description

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 environment.
• Strong communication and interpersonal skills.
• Ability to adapt to changing priorities and deadlines.