Job Description, Responsibilities & Requirements
About the Position
We are seeking a Lead Data DevOps Engineer with expertise in AWS and Databricks to enhance our data transformation architecture in the e-commerce/fashion industry.
As a Lead Data DevOps in Data Platform, you will focus on maintaining and implementing new features to the data transformation architecture, which is the backbone of the Customer's analytical data platform. By constantly challenging the status quo, you will deliver high-performance data processing solutions that are efficient and reliable at scale.
Responsibilities
- Troubleshooting user issues related to Databricks (Spark) and suggesting optimizations for long-running or resource-intensive jobs
- Guiding users on best practices of Databricks cluster management
- Consulting and helping our diverse teams to develop, implement, and maintain sustainable, high-performance, growth-ready data-processing and data integration systems
- Implementing services that improve the CI/CD experience of users by emphasizing self-service
- Working together with other teams in Customer’s Data Infrastructure to deliver services that serve as a backbone for Customer’s central datalake
- Improving data access methods to provide a bulletproof, secure, and by default compliant self-service platform
- Guiding users and supporting them to find cost-effective setups while keeping high efficiency
- Implementing observability solutions in Databricks to reduce slack costs
- Driving users to adopt edge Databricks features like Photon and Graviton instances
- Reviewing current infrastructure to find cost-saving opportunities
- Analyzing, designing, and developing solutions in an Agile team to support essential business needs for the platform search application
Requirements
- Proficient knowledge in working with distributed data processing frameworks like Apache Spark and a good understanding of relational database management systems
- Strong hands-on production experience with Databricks
- Practical knowledge of Python and Scala combined with SQL knowledge
- Hands-on production experience in cloud technologies (AWS services like IAM, S3, Lambda, EC2)
- Engineering craftsmanship with an expertise in software development processes focusing on testing, continuous integration/continuous delivery (CI/CD), monitoring, and writing documentation
- Advanced English skills
Nice to Have
- AWS Networking or Basics of Networking on AWS cloud
- Hands-on experience with Terraform
About the Company
EPAM Systems is a global software engineering and product development company that partners with many of the world's leading businesses to deliver high-quality software solutions.