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Tech Stack
Tools & technologiesAirflowAzurePySpark
About the role
Key responsibilities & impact- Design, develop, and implement scalable, efficient data pipelines using Azure Databricks, Apache Airflow, and PySpark
- Ensure data quality, performance, and reliability
- Perform data analysis and troubleshooting
- Create interactive reports and dashboards in Power BI
- Actively collaborate on the design and implementation of new features and capabilities
Requirements
What you’ll need- Solid experience developing and deploying data pipelines on Azure Databricks
- Proficiency in PySpark for data processing and transformation
- Hands-on experience with relational and non-relational databases
- Proficient in using version control tools such as Git
- Strong skills in data visualization tools, particularly Power BI
Benefits
Comp & perks- Culture of equality
- Diversity and inclusion
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data pipelinesAzure DatabricksApache AirflowPySparkdata analysisdata qualitydata performancedata reliabilitydata visualizationrelational databases
