Job description
This is a remote position.
We are seeking aData Engineerto join a cross-functional delivery team working on the development ofdata lakes,analytical platforms, andreal-time streaming solutionsusing modernAzure technologies. This role offers the opportunity to work in an Agile environment with direct access to product and business owners, shaping high-impact data products from concept to deployment.
Main Responsibilities
Design, build, and monitorETL pipelinesusingAzureandSpark technologies
Implement scalable, cloud-nativedata processing workflowsusingPySpark
Configure and operate core Azure services:Databricks,Azure Data Factory,Azure Data Lake Storage, andAzure Functions
Collaborate closely with analysts, data scientists, and software engineers to deliver robust data solutions
Translate business needs into reliable and secure data products
Ensure data quality, governance, and performance best practices across solutions
Requirements
At least4 yearsof professional experience indata engineering
Proven experience withlarge-scale data processing and transformation pipelines
Hands-on knowledge ofAzureor other majorcloud platforms
Solid coding skills inPython(especially pandas/numpy) andSQL
Familiarity withGit workflowsin a collaborative development setting
Fluency inPolishandEnglish(C1 minimumlevel in English required)
Nice to Have
Experience withLinux/Bash scripting
Familiarity withDockerorKubernetes
Domain experience inretail,financial services,energy, or thepublic sector
Benefits
Solid, competitive salary.
Work in multilingual, multinational and multicultural environment on international projects
Medical care
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.