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Tech Stack
Tools & technologiesETLHadoopPySparkShell ScriptingSQL
About the role
Key responsibilities & impact- Design, develop, and maintain efficient and scalable Big Data solutions
- Conduct in-depth data analysis and troubleshoot complex data issues
- Optimize Big Data workflows and perform rigorous unit testing
- Collaborate with data scientists, analysts, and other engineers
Requirements
What you’ll need- Extensive experience in designing, developing, and optimizing scalable data solutions using the Hadoop ecosystem
- Strong knowledge of PySpark and Hive
- Implement and optimize ETL processes
- Strong understanding and practical experience with data warehousing concepts
- Advanced SQL knowledge
- Proficient in shell scripting
Benefits
Comp & perks- Health insurance
- Flexible work arrangements
- Professional development
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
HadoopPySparkHiveETL processesdata warehousingSQLshell scripting
Soft Skills
collaborationtroubleshootingdata analysis
