Data Engineer (Middle+)

Дата размещения вакансии: 21.04.2025
Работодатель: Kiz8
Уровень зарплаты:
з/п не указана
Город:
Москва
Требуемый опыт работы:
От 3 до 6 лет

About the Role As a Data Engineer at Kiz8, you will design, build, and manage data infrastructure to support state-of-the-art AI solutions. You will create and maintain robust ETL pipelines, handle vector data storage solutions, and ensure data integrity, reliability, and accessibility for AI model development.

Who We're Looking For

  • Passionate professionals with a strong interest in data engineering and artificial intelligence.

  • Continuous learners who actively explore and apply the latest data technologies.

  • Problem solvers capable of developing optimal solutions to complex data challenges.

  • Individuals who take ownership, ensuring data quality and seamless data management.

  • Collaborative team players who effectively communicate and share knowledge across diverse teams.

Qualifications

  • Demonstrated experience designing and implementing ETL processes (e.g., Apache Airflow, Apache Spark, dbt).

  • Expertise in modern data warehouses such as Snowflake or BigQuery.

  • Practical experience with vector databases like Pinecone, Weaviate, or similar platforms.

  • Strong proficiency in SQL and familiarity with NoSQL databases (MongoDB, Cassandra).

  • Programming skills in Python (pandas, numpy) or Scala.

  • Experience using version control systems (Git).

  • Hands-on experience with cloud platforms (AWS: S3, Lambda; GCP: BigQuery).

  • Familiarity with containerization and orchestration (Docker, Kubernetes).

Preferred Qualifications

  • Background in managing data for machine learning or AI-driven projects.

  • Previous experience with data streaming technologies and real-time data pipelines.

What We Offer

  • Access to advanced data tools and involvement in innovative AI-driven projects.

  • Opportunity to significantly impact the development of pioneering AI solutions through data.

  • Supportive environment promoting professional growth and continuous education.

Compensation & Benefits

  • Competitive salary, commensurate with experience and skills.

  • Comprehensive benefits package and opportunities for professional advancement.

Application Process

  • Submit your resume along with a cover letter detailing your motivation for working with AI-focused data.

  • Include a link to a GitHub/GitLab repository demonstrating your relevant experience.

  • Provide examples or portfolio of data projects showcasing your expertise.

Next Steps

  • Initial application review.

  • Selected candidates will be invited for an initial interview.

  • Technical assignment and subsequent final interview rounds.

We are excited about your application and look forward to exploring how your expertise can contribute to Kiz8’s AI innovations.