Senior Software Engineer Databricks

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 19 hours ago

Vacancies: 1 Vacancy

Job Summary

Revenera helps product executives build better products accelerate time to value and monetize what matters. Reveneras leading solutions help software and technology companies drive top line revenue with modern software monetization understand usage and compliance with software usage analytics empower the use of open source with software composition analysis and deliver an excellent user experiencefor embedded on premises cloud and SaaS products.

Senior Databricks Engineer

As a Senior 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 cross-functional 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 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 fast-paced environment.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills with the ability to work effectively in cross-functional 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.

Revenera is proud to be an equal opportunity employer. Qualified applicants will be considered for open roles regardless of age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex (including pregnancy) sexual orientation or any other characteristic protected by local/national laws policies and/or regulations. Regarding disability we encourage candidates requiring accommodations to please let us know by emailing .

Required Experience:

Senior IC

Senior Databricks Engineer

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 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 fast-paced environment.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills with the ability to work effectively in cross-functional 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.

Required Experience:

Senior IC