
Data Engineer – Data Competency Center
Sigma Software Group
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇦🇱 Albania
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Amazon RedshiftAWSAzureCloudKafkaPySparkPythonSparkSQL
About the role
- Collaborate with clients and internal teams to clarify technical requirements and expectations
- Implement architectures using Azure or AWS cloud platforms
- Design, develop, optimize, and maintain squad-specific data architectures and pipelines
- Discover, analyze, and organize disparate data sources into clean, understandable data models
- Evaluate new tools for analytical data engineering or data science
- Suggest and contribute to training and improvement plans for analytical data engineering skills, standards, and processes
Requirements
- 3+ years of experience in data engineering
- Hands-on experience with cloud computing services in data and analytics (AWS and/or Azure)
- Experience with data modeling, reporting tools, data governance, and data warehousing
- Proficiency in Python and PySpark for large-scale, distributed data processing
- Advanced SQL skills and knowledge of big data databases (Snowflake, Redshift, etc.)
- Strong knowledge of Databricks for big data analysis, transformations, and orchestration
- Understanding of streaming approaches (Kafka, Spark Structured Streaming)
- Familiarity with CI/CD and DevOps processes
- Upper-Intermediate+ English
Benefits
- Professional growth opportunities
- Access to the latest technologies
- Supportive team culture
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringcloud computingdata modelingreporting toolsdata governancedata warehousingPythonPySparkSQLbig data databases
Soft skills
collaborationcommunicationanalytical skillsorganizational skillstraining and development