Base Career helps you apply smarter for this job.
Key skills for this role
Outstanding programming experience, preferably in Python; ability to write clean, testable, production-grade code; able to write clean, testable, production-grade code
Strong SQL skills and familiarity with structured and semi-structured data formats (JSON, Protobuf, Delta format)
Hands-on experience with Apache Spark, ideally on Databricks, and understanding of the medallion architecture
Solid grasp of data lakehouse principles, data modeling, and data governance concepts
Experience building and maintaining CI/CD pipelines (e.g. GitLab CI); familiarity with IaC and deployment
Cloud Platforms: Experience with AWS or comparable cloud providers; familiarity with Databricks as a managed Lakehouse platform
Experience with event-driven architectures or streaming platforms (e.g. Kafka)
Proven track record deploying, monitoring, and maintaining data pipelines and services in production environments; experience with testing practices
Able to work autonomously and take ownership of tasks end-to-end
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
Laval, CAN
, IND
KSB is seeking a Senior Full Stack Developer to build end-to-end industrial IoT applications across frontend, backend, and cloud services. The role requires React.js, Node.js or .NET Core, AWS, microservices, GitLab CI/C
Laval, CAN
Lucknow, IND
, IND
, IND
, IND
, IND
, IND
, IND
Clear and concise communicator — comfortable working across engineering and data teams
Bachelor's degree in Software Engineering, Mathematics, Physics, or a related field
3 years of project/coding experience in a company
Cloud experience: Databricks, AWS/Azure Staging, testing, Git, pipelines Distributed systems, data pipelines
Databricks, AWS/Azure
Staging, testing, Git, pipelines
Distributed systems, data pipelines
Python experience: Versioning, package management, requirements/environments Change data capture
Versioning, package management, requirements/environments
Change data capture
Data engineering experience: SQL Partitioning Data structures (tables, relations) Lakehouse
SQL
Partitioning
Data structures (tables, relations)
Lakehouse
Global manufacturer of pumps, valves, and related industrial services.
Visit company websiteJobs and hiring trendsFull-time
Senior · 3+ years experience
Onsite
Apply faster on company sites with our extension.