Databricks Engineer

KPI Partners

Hyderabad, Pune District, Bengaluru

Presencial

INR 1.800.000 - 2.400.000

Jornada completa

14 días+

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Descripción de la vacante

KPI Partners is seeking a Lead Databricks Engineer to drive Databricks-based data solutions, pipelines, and MLOps practices. The role emphasizes collaboration with data scientists, CI/CD implementation, and performance optimization within the Databricks ecosystem.

Ideal candidates will have strong Databricks and PySpark experience, plus a background in CI/CD and mentoring junior engineers. This is a senior, hands-on technical leadership position at KPI Partners.

Formación

  • Bachelor or higher in Computer Science, Engineering or related field.
  • 5+ years in data engineering or related role, with at least 2 years in Databricks.
  • Proven experience using Pyspark for data processing.
  • Experience implementing CI/CD in data projects.
  • Knowledge of machine learning concepts and MLOps is a plus.

Responsabilidades

  • Lead design and implementation of Databricks-based data solutions.
  • Develop, test, and deploy data pipelines using Pyspark.
  • Collaborate with data scientists to implement MLOps for deploying models.
  • Establish and maintain CI/CD pipelines for high-quality code delivery.
  • Optimize data workflows and performance within Databricks environment.
  • Mentor junior engineers on best practices and emerging technologies.
  • Translate business requirements into technical specifications.

Conocimientos

Databricks
Pyspark
CI/CD
MLOps
Problem solving
Teamwork

Educación

Bachelors (CS/Engineering)

Herramientas

CI/CD tools

Descripción del empleo

Description

Job Title: Lead Databricks Engineer (Databricks)

KPI Partners is seeking a skilled and experienced Lead Databricks Engineer to join our dynamic team. The ideal candidate will have a strong background in Databricks, Pyspark, CI/CD practices, and MLOps. This role will be pivotal in developing data solutions that drive business insights and enhance operational efficiency.

Key Responsibilities:
  • Lead the design and implementation of Databricks-based data solutions.
  • Develop, test, and deploy data processing pipelines using Pyspark.
  • Collaborate with data scientists and analysts to implement MLOps practices for deploying machine learning models.
  • Establish and maintain CI/CD pipelines to automate the deployment process and ensure high-quality code delivery.
  • Optimize data workflows and improve system performance within the Databricks environment.
  • Mentor and guide junior engineers and team members in best practices and emerging technologies.
  • Work closely with stakeholders to understand business requirements and translate them into technical specifications.
Required Skills:
  • Proficient in Databricks and its ecosystem.
  • Strong experience with Pyspark for data processing and analysis.
  • Solid understanding of CI/CD practices and tools.
  • Familiarity with MLOps concepts and their application in real-world scenarios.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work collaboratively in a fast-paced, team-oriented environment.
Qualifications:
  • Bachelors degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in data engineering or a related role, with at least 2 years of experience specifically in Databricks.
  • Proven experience in leveraging Pyspark for data processing.
  • Experience implementing CI/CD practices in data projects.
  • Knowledge of machine learning concepts and MLOps practices is a plus.

If you are passionate about data engineering and looking to take your career to the next level with KPI Partners, Join us in driving innovation through data!

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Relocation allowed