drjobs Senior Databricks Engineer

Senior Databricks Engineer

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1 Vacancy
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Job Location drjobs

India

Monthly Salary drjobs

INR INR 840000 - 1200000

Vacancy

1 Vacancy

Job Description

Senior Databricks Engineer
As a Mid Databricks Engineer you will play a pivotal role in designing implementing and optimizing data processing pipelines and analytics solutions on the Databricks platform. You will collaborate closely with crossfunctional teams to understand business requirements architect scalable solutions and ensure the reliability and performance of our data infrastructure. This role requires deep expertise in Databricks strong programming skills and a passion for solving complex engineering challenges.
What youll do:
  • Design and develop data processing pipelines and analytics solutions using Databricks.
  • Architect scalable and efficient data models and storage solutions on the Databricks platform.
  • Collaborate with architects and other teams to migrate current solution to use Databricks.
  • Optimize performance and reliability of Databricks clusters and jobs to meet SLAs and business requirements.
  • Use best practices for data governance security and compliance on the Databricks platform.
  • Mentor junior engineers and provide technical guidance.
  • Stay current with emerging technologies and trends in data engineering and analytics to drive continuous improvement.
Youll be expected to have:
  • Bachelors or masters degree in computer science Engineering or a related field.
  • 5 to 8 years of overall experience and 2 years of experience designing and implementing data solutions on the Databricks platform.
  • Proficiency in programming languages such as Python Scala or SQL.
  • Strong understanding of distributed computing principles and experience with big data technologies such as Apache Spark.
  • Experience with cloud platforms such as AWS Azure or GCP and their associated data services.
  • Proven track record of delivering scalable and reliable data solutions in a fastpaced environment.
  • Excellent problemsolving skills and attention to detail.
  • Strong communication and collaboration skills with the ability to work effectively in crossfunctional teams.
  • Good to have experience with containerization technologies such as Docker and Kubernetes.
  • Knowledge of DevOps practices for automated deployment and monitoring of data pipelines.

docker,data governance,sql,gcp,databricks,devops,data engineering,delivering scalable and reliable data solutions,security,python,apache spark,analytics,aws,databricks clusters,scala,azure,kubernetes

Employment Type

Full Time

Company Industry

Key Skills

  • APIs
  • C/C++
  • Computer Graphics
  • Go
  • React
  • Redux
  • Node.js
  • AWS
  • Library Services
  • Assembly
  • GraphQL
  • High Voltage
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