Senior Software Engineer developing scalable data processing solutions for data engineering team. Implementing data models and building ETL pipelines with Python, Spark, and SQL.
Responsibilities
Design and develop scalable data processing solutions using Spark and PySpark
Implement robust data models and optimize SQL queries
Collaborate with data analysts and stakeholders
Build and maintain ETL pipelines leveraging Python, Hive, and SQL
Conduct thorough code reviews, performance tuning, and debugging
Monitor, troubleshoot, and resolve issues in production data workflows
Document technical processes, data models, and workflow architectures
Stay updated with industry trends in big data technologies
Requirements
2 - 4 years of experience in software development
Advanced proficiency in Spark and PySpark
Strong knowledge of SQL (basic and advanced)
Expertise in Python programming for data processing
Experience with Hive for data warehousing solutions
Solid understanding of data modelling fundamentals
Ability to design and optimize ETL pipelines
Hands-on experience with large-scale data processing
Proficient in performance tuning of SQL and Spark jobs
Familiarity with distributed computing concepts
Competence in debugging and troubleshooting data workflows
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
Relevant certifications in big data technologies or data engineering are advantageous
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