Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
About the role
- Lead Data Engineer at Accellor architecting high-performance data pipelines and mentoring data engineers while collaborating on business needs and data solutions.
Responsibilities
- Design and build scalable, high-performance data pipelines and architecture.
- Lead and mentor a team of data engineers, fostering a culture of best practices in data management and engineering.
- Collaborate with cross-functional teams to grasp business needs and translate them into technical requirements.
- Ensure data quality, integrity, and security throughout the data lifecycle.
- Stay updated with emerging technologies and industry trends to innovate and enhance our data practices.
- Contribute to the continuous improvement of our data infrastructure and processes.
Requirements
- 7+ years of experience in data engineering or a related field.
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong knowledge of SQL and experience with database technologies (e.g., PostgreSQL, MySQL).
- Hands-on experience with ETL tools and data integration techniques.
- Excellent understanding of data modeling concepts and best practices.
- Ability to work collaboratively and communicate effectively with team members and stakeholders.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Strong analytical, problem-solving skills, and attention to detail.
- Experience with big data technologies like Hadoop or Spark is advantageous.
- Certification in relevant technologies (e.g., AWS, Azure) would be beneficial.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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