
Data Engineer – Data Competency Center
Sigma Software Group
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇧🇬 Bulgaria
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
collaborationcommunicationtrainingorganizational skills