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Senior Data Engineer
SysMap Solutions. Develop, implement, and support cloud-based data solutions and environments on Azure .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and optimizing cloud-based data solutions on Azure, utilizing Python, SQL, and PySpark for data processing. Ensures data quality, security, and governance while leveraging best practices in data architecture and automation.
Highest-signal resume keywords
Python DevelopmentSQL ProficiencyAzure Databricks ExperienceData Governance KnowledgeMicrosoft Azure Data Engineer Associate Certification
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
PySparkBig DataData Pipeline OptimizationDistributed ProcessingData Quality Assurance
Soft Skills
Team CollaborationAgile Methodologies
Tools & Technologies
Microsoft AzureAzure DevOpsHadoopHive
Certifications & Qualifications
Microsoft Azure Data Engineer Associate Certification (DP-203)
Industry Keywords
Data ArchitectureData SecurityData IntegrationCloud Data PlatformsPipeline Observability
Tech Stack
Tools & technologiesAzureHadoopPySparkPythonSQL
About the role
Key responsibilities & impact- Develop, implement, and support cloud-based data solutions and environments on Azure
- Build, monitor, and optimize data pipelines, ensuring efficiency, scalability, and reliability
- Use Azure Databricks and PySpark to process and transform large volumes of data
- Work with distributed processing and the integration of multiple data sources
- Ensure data quality, integrity, security, and governance in accordance with applicable policies and regulations
- Identify opportunities to improve performance, automation, and data architecture
- Evaluate new technologies, trends, and best practices in Data Engineering
Requirements
What you’ll need- Strong experience developing with Python, SQL, and PySpark
- Knowledge of Big Data and distributed processing using technologies such as Hadoop and Hive
- Experience with Microsoft Azure and Azure Databricks
- Experience building, maintaining, and optimizing data pipelines in Azure environments
- Knowledge of data governance, security, and quality
- Familiarity with Azure DevOps and version control and continuous integration practices
- Experience working on teams that use Agile methodologies
- Microsoft Azure Data Engineer Associate certification (DP-203) — preferred
- Experience optimizing performance and costs in Big Data environments — preferred
- Knowledge of best practices in architecture, automation, and pipeline observability — preferred
- Experience with projects involving the modernization and evolution of cloud data platforms — preferred
Benefits
Comp & perks- Employment under Brazil’s CLT labor regime
- Meal voucher (VR)
- Food allowance (VA)
- Health insurance
- Dental insurance
- Life insurance
- 100% remote work