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Tech Stack
Tools & technologiesAzureCloudETLPySparkSparkSQL
About the role
Key responsibilities & impact- Work on data engineering projects using Databricks
- Develop, optimize, and maintain data pipelines in a cloud environment
- Design scalable solutions
- Ensure data quality and performance
- Collaborate with the team to evolve solutions and deliver project requirements efficiently
Requirements
What you’ll need- Hands-on experience with Databricks
- Knowledge of Spark/PySpark and SQL
- Experience building and optimizing data pipelines (ETL/ELT)
- Experience with data architecture and processing large volumes
- Experience in cloud environments (preferably Azure)
- Knowledge of Git and development best practices
- Soft skills: collaborative team player
- Strong communication skills and proactivity
- Sense of urgency and ability to prioritize
Benefits
Comp & perks- Learning incentive programs (Udemy)
- Discounted corporate English classes
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 Pipeline DevelopmentETLELTData ArchitectureData Processing
Soft Skills
Collaborative Team PlayerStrong Communication SkillsProactivitySense of UrgencyAbility to Prioritize
